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Robust Reinforcement Learning: A Review of Foundations and Recent Advances
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Bounded parameter Markov decision processes
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H∞-Optimal Control and Related Minimax Design Problems
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Multi-agent Reinforcement Learning: An Overview
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
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Robust control and differential games on a finite time horizon
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Optimal stopping, exponential utility, and linear programming
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Robot Motion Planning: A Game-Theoretic Foundation
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Robust optimization ? methodology and applications
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Multi-agent deep reinforcement learning: a survey
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Robustness and generalization
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State-space formulae for all stabilizing controllers that satisfy an H∞-norm bound and relations to relations to risk sensitivity
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Consideration of Risk in Reinforcement Learning
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Markov games as a framework for multi-agent reinforcement learning
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Origins of robust control: Early history and future speculations
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A robust Markov game controller for nonlinear systems
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Robust optimization – A comprehensive survey
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Planning and acting in partially observable stochastic domains
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On terminating Markov decision processes with a risk-averse objective function
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Value-function reinforcement learning in Markov games
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RISK SENSITIVITY, A STRANGELY PERVASIVE CONCEPT
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Mastering the game of Go with deep neural networks and tree search
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Analysis of feedback systems with structured uncertainties
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The theory of dynamic programming
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A brief history of automatic control
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L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
inferredcites →https://doi.org/10.1109/9.847720openalex-snapshot
Minimax optimal control of stochastic uncertain systems with relative entropy constraints
inferredcites →https://doi.org/10.1109/cdc40024.2019.9028943openalex-snapshot
Regularized and Distributionally Robust Data-Enabled Predictive Control
inferredcites →https://doi.org/10.1109/cdc42340.2020.9303938openalex-snapshot
Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem
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The Limitations of Deep Learning in Adversarial Settings
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Supervision via competition: Robot adversaries for learning tasks
inferredcites →https://doi.org/10.1109/icra.2019.8794293openalex-snapshot
Risk Averse Robust Adversarial Reinforcement Learning
inferredcites →https://doi.org/10.1109/icra40945.2020.9197000openalex-snapshot
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
inferredcites →https://doi.org/10.1109/iros.2012.6386109openalex-snapshot
MuJoCo: A physics engine for model-based control
inferredcites →https://doi.org/10.1109/iros.2017.8206245openalex-snapshot
Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations
inferredcites →https://doi.org/10.1109/iros40897.2019.8967699openalex-snapshot
Entropic Risk Measure in Policy Search
inferredcites →https://doi.org/10.1109/tac.1965.1098197openalex-snapshot
Differential games and optimal pursuit-evasion strategies
inferredcites →https://doi.org/10.1109/tac.1981.1102603openalex-snapshot
Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses
inferredcites →https://doi.org/10.1109/tac.1983.1103275openalex-snapshot
Feedback, minimax sensitivity, and optimal robustness
inferredcites →https://doi.org/10.1109/tac.2007.894517openalex-snapshot
Stochastic Uncertain Systems Subject to Relative Entropy Constraints: Induced Norms and Monotonicity Properties of Minimax Games
inferredcites →https://doi.org/10.1109/tac.2015.2495174openalex-snapshot
Distributionally Robust Counterpart in Markov Decision Processes
inferredcites →https://doi.org/10.1109/tac.2020.3030884openalex-snapshot
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach
inferredcites →https://doi.org/10.1109/tnnls.2020.3041469openalex-snapshot
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
inferredcites →https://doi.org/10.1115/1.3662552openalex-snapshot
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1115/1.3662604openalex-snapshot
Control System Analysis and Design Via the “Second Method” of Lyapunov: I—Continuous-Time Systems
inferredcites →https://doi.org/10.1137/0330017openalex-snapshot
A Game Theoretic Approach to $\mathcal{H}^\infty $ Control for Time-Varying Systems
inferredcites →https://doi.org/10.1145/3052973.3053009openalex-snapshot
Practical Black-Box Attacks against Machine Learning
inferredcites →https://doi.org/10.1162/089976600300015961openalex-snapshot
Reinforcement Learning in Continuous Time and Space
inferredcites →https://doi.org/10.1162/089976699300016070openalex-snapshot
A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms
inferredcites →https://doi.org/10.1201/9780203749319openalex-snapshot
Mathematical Theory of Optimal Processes
inferredcites →https://doi.org/10.1214/009053604000000553openalex-snapshot
Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
inferredcites →https://doi.org/10.1287/mnsc.18.7.356openalex-snapshot
Risk-Sensitive Markov Decision Processes
inferredcites →https://doi.org/10.1287/mnsc.2018.3140openalex-snapshot
Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization
inferredcites →https://doi.org/10.1287/mnsc.23.1.43openalex-snapshot
A Utility Criterion for Markov Decision Processes
inferredcites →https://doi.org/10.1287/mnsc.28.1.1openalex-snapshot
State of the Art—A Survey of Partially Observable Markov Decision Processes: Theory, Models, and Algorithms
inferredcites →https://doi.org/10.1287/moor.1110.0531openalex-snapshot
A Distributional Interpretation of Robust Optimization
inferredcites →https://doi.org/10.1287/moor.1120.0566openalex-snapshot
Robust Markov Decision Processes
inferredcites →https://doi.org/10.1287/moor.2016.0779openalex-snapshot
Reinforcement Learning in Robust Markov Decision Processes
inferredcites →https://doi.org/10.1287/moor.2016.0786openalex-snapshot
Robust MDPs with k-Rectangular Uncertainty
inferredcites →https://doi.org/10.1287/opre.1050.0216openalex-snapshot
Robust Control of Markov Decision Processes with Uncertain Transition Matrices
inferredcites →https://doi.org/10.1287/opre.1080.0685openalex-snapshot
Percentile Optimization for Markov Decision Processes with Parameter Uncertainty
inferredcites →https://doi.org/10.1287/opre.2014.1314openalex-snapshot
Distributionally Robust Convex Optimization
inferredcites →https://doi.org/10.1287/opre.21.3.728openalex-snapshot
Markovian Decision Processes with Uncertain Transition Probabilities
inferredcites →https://doi.org/10.1287/opre.42.4.739openalex-snapshot
Markov Decision Processes with Imprecise Transition Probabilities
inferredcites →https://doi.org/10.1512/iumj.1957.6.56038openalex-snapshot
A Markovian Decision Process
inferredcites →https://doi.org/10.15607/rss.2021.xvii.007openalex-snapshot
Robust Value Iteration for Continuous Control Tasks
inferredcites →https://doi.org/10.1609/aaai.v24i1.7727openalex-snapshot
Relative Entropy Policy Search
inferredcites →https://doi.org/10.1609/aaai.v29i1.9561openalex-snapshot
Optimizing the CVaR via Sampling
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11794openalex-snapshot
Counterfactual Multi-Agent Policy Gradients
inferredcites →https://doi.org/10.22215/etd/2017-11788openalex-snapshot
On Multi-Agent Reinforcement Learning in Matrix, Stochastic and Differential Games
inferredcites →https://doi.org/10.2307/1426972openalex-snapshot
Risk-sensitive linear/quadratic/gaussian control
inferredcites →https://doi.org/10.2307/2282268openalex-snapshot
Dynamic Programming and Markov Processes.
inferredcites →https://doi.org/10.23919/acc.1988.4789992openalex-snapshot
State-space solutions to standard H 2 and H ∞ control problems
inferredcites →https://doi.org/10.23919/acc45564.2020.9147846openalex-snapshot
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
inferredcites →https://doi.org/10.24963/ijcai.2018/543openalex-snapshot
Generating Adversarial Examples with Adversarial Networks
inferredcites →https://doi.org/10.3233/kes-2010-0206openalex-snapshot
The world of independent learners is not markovian
inferredcites →https://doi.org/10.48550/arxiv.1605.06676openalex-snapshot
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1706.02275openalex-snapshot
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
inferredcites →https://doi.org/10.48550/arxiv.1711.00832openalex-snapshot
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1801.01290openalex-snapshot
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
inferredcites →https://doi.org/10.48550/arxiv.1803.11485openalex-snapshot
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1901.09184openalex-snapshot
Action Robust Reinforcement Learning and Applications in Continuous Control
inferredcites →https://doi.org/10.48550/arxiv.1905.05408openalex-snapshot
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1905.08188openalex-snapshot
A Bayesian Approach to Robust Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1910.12908openalex-snapshot
Certified Adversarial Robustness for Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2006.11608openalex-snapshot
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
inferredcites →https://doi.org/10.65109/rnct3583openalex-snapshot
Robust Deep Reinforcement Learning with Adversarial Attacks
inferredcites →https://doi.org/10.65109/ytbq8692openalex-snapshot
Robust Temporal Difference Learning for Critical Domains
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Advances in Neural Information Processing Systems 14
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Memoryless Policies: Theoretical Limitations and Practical Results
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The Robustness-Performance Tradeoff in Markov Decision Processes
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Robust Proximal Adversarial Reinforcement Learning Under Model Mismatch
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A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments
inferred← citeshttps://doi.org/10.1109/nana60121.2023.00121openalex-snapshot
Physical-Sensing Inconsistency Vulnerability Mitigation for Multi-UAV Crowdsensing
inferred← citeshttps://doi.org/10.1109/rcar65431.2025.11139393openalex-snapshot
Improving Stability and Efficiency of Reinforcement Learning using Reward Functions based on Lyapunov Neural Networks
inferred← citeshttps://doi.org/10.1109/tai.2023.3299252openalex-snapshot
Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation
inferred← citeshttps://doi.org/10.1109/tai.2024.3499938openalex-snapshot
Active Robust Adversarial Reinforcement Learning Under Temporally Coupled Perturbations
inferred← citeshttps://doi.org/10.1109/tcyb.2025.3575240openalex-snapshot
Risk-Sensitive Reinforcement Learning With Exponential Criteria
inferred← citeshttps://doi.org/10.1109/tiv.2025.3620013openalex-snapshot
Tactical Planning Interception Enhancement Using Expert Learning: Twin Delayed Deep Deterministic Policy Gradient
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3317145openalex-snapshot
RAP Vol: Robust Adversary Populations With Volume Diversity Measure
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3331304openalex-snapshot
CVaR-Constrained Policy Optimization for Safe Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tpami.2024.3443916openalex-snapshot
Safe Reinforcement Learning With Dual Robustness
inferred← citeshttps://doi.org/10.1109/tpwrs.2024.3502639openalex-snapshot
Robust Reinforcement Learning for Decision Making Under Uncertainty in Electricity Markets
inferred← citeshttps://doi.org/10.1109/tsmc.2025.3540262openalex-snapshot
Integrated Guidance and Control of Morphing Flight Vehicle via Sliding-Mode-Based Robust Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tvt.2023.3270356openalex-snapshot
Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System
inferred← citeshttps://doi.org/10.1109/wsc68292.2025.11338862openalex-snapshot
Bridging the Gap: A Practical Guide to Implementing Deep Reinforcement Learning Simulation in Operations Research with Gymnasium
inferred← citeshttps://doi.org/10.1145/3653670openalex-snapshot
Directions of Technical Innovation for Regulatable AI Systems
inferred← citeshttps://doi.org/10.1145/3759355.3759373openalex-snapshot
Measuring the Robustness of Multi-Agent Reinforcement Learning Systems under Partial Agent Failure
inferred← citeshttps://doi.org/10.1145/3770177.3770202openalex-snapshot
Design of a dynamic adjustment model for corporate ESG strategies based on reinforcement learning
inferred← citeshttps://doi.org/10.1145/3805627openalex-snapshot
Analyzing Symbolic Properties for DRL Agents in Systems and Networking
inferred← citeshttps://doi.org/10.1155/atr/6789335openalex-snapshot
Distribution‐Level Regularization for Robust Reinforcement Learning in Autonomous Driving
inferred← citeshttps://doi.org/10.1155/cplx/4688591openalex-snapshot
From Rational Agents to Learning Agents: A Structured Review and Conceptual Framework for MARL in Economic Modeling
inferred← citeshttps://doi.org/10.1177/01423312261477454openalex-snapshot
Fixed-time robust synchronous control for the double-lift system of the overhead crane via adaptive reinforcement learning with prescribed performance
inferred← citeshttps://doi.org/10.1360/ssi-2023-0010openalex-snapshot
Research and applications of game intelligence
inferred← citeshttps://doi.org/10.1609/aaai.v37i10.26388openalex-snapshot
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers
inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29090openalex-snapshot
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms
inferred← citeshttps://doi.org/10.1609/aaai.v38i19.30088openalex-snapshot
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
inferred← citeshttps://doi.org/10.1609/icaps.v33i1.27191openalex-snapshot
Model Checking for Adversarial Multi-Agent Reinforcement Learning with Reactive Defense Methods
inferred← citeshttps://doi.org/10.1613/jair.1.14253openalex-snapshot
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3166622/v1openalex-snapshot
Unveiling the Performance Dynamics and Stability of Artificial Neural Network Models in Reinforcement Learning: A Comprehensive Examination of ANN Size Influence
inferred← citeshttps://doi.org/10.2139/ssrn.5162793openalex-snapshot
Robust Deep Reinforcement Learning Based Optimization for Energy-Comfort Balanced Enhancement in Havc Systems
inferred← citeshttps://doi.org/10.2139/ssrn.6500088openalex-snapshot
Optimizing Long-Term Liquified Natural Gas Procurement under Market Regime Shifts: A Reinforcement Learning Approach with Evidence from Bahrain
inferred← citeshttps://doi.org/10.23919/aise.2026.000002openalex-snapshot
Robust Reinforcement Learning: Methods, Benchmarks and Challenges
inferred← citeshttps://doi.org/10.2514/1.i011697openalex-snapshot
Improving Robustness of Autonomous Earth-Observing Spacecraft Using Training Environment Enhancements
inferred← citeshttps://doi.org/10.2514/6.2023-0967openalex-snapshot
Optimization of a Robust Reinforcement Learning Policy
inferred← citeshttps://doi.org/10.2514/6.2024-1697openalex-snapshot
Adversarial Proximal Policy Optimisation for Robust Reinforcement Learning
inferred← citeshttps://doi.org/10.32604/cmes.2023.029509openalex-snapshot
Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles
inferred← citeshttps://doi.org/10.3389/fceng.2023.1138283openalex-snapshot
Review of synergy between machine learning and first principles models for asset integrity management
inferred← citeshttps://doi.org/10.3389/fnbot.2022.1072887openalex-snapshot
Intelligent air defense task assignment based on hierarchical reinforcement learning
inferred← citeshttps://doi.org/10.3389/fphy.2026.1765091openalex-snapshot
Designing particle physics experiments with artificial intelligence
inferred← citeshttps://doi.org/10.3390/ai6060126openalex-snapshot
Artificial Intelligence Empowering Dynamic Spectrum Access in Advanced Wireless Communications: A Comprehensive Overview
inferred← citeshttps://doi.org/10.3390/app151910823openalex-snapshot
Industrial Scheduling in the Digital Era: Challenges, State-of-the-Art Methods, and Deep Learning Perspectives
inferred← citeshttps://doi.org/10.3390/app152212023openalex-snapshot
Realization of Efficient Exploration by Self-Generating Evaluation Considering Curiosity and Fear Indices Based on Prediction Error
inferred← citeshttps://doi.org/10.3390/en16083450openalex-snapshot
A Review of Reinforcement Learning-Based Powertrain Controllers: Effects of Agent Selection for Mixed-Continuity Control and Reward Formulation
inferred← citeshttps://doi.org/10.3390/engproc2026157002openalex-snapshot
Sensitivity-Based Robustness Evaluation of a Reinforcement Learning Controller for the Furuta Pendulum Under Parametric Uncertainty
inferred← citeshttps://doi.org/10.3390/fi15100332openalex-snapshot
Machine Learning: Models, Challenges, and Research Directions
inferred← citeshttps://doi.org/10.3390/machines13121140openalex-snapshot
Reinforcement Learning for Industrial Automation: A Comprehensive Review of Adaptive Control and Decision-Making in Smart Factories
inferred← citeshttps://doi.org/10.3390/make7040108openalex-snapshot
Learning to Balance Mixed Adversarial Attacks for Robust Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/math11204286openalex-snapshot
DQN-GNN-Based User Association Approach for Wireless Networks
inferred← citeshttps://doi.org/10.3390/math14020296openalex-snapshot
Reinforcement Learning-Guided NSGA-II Enhanced with Gray Relational Coefficient for Multi-Objective Optimization: Application to NASDAQ Portfolio Optimization
inferred← citeshttps://doi.org/10.3390/math14111980openalex-snapshot
Dynamic Credit Decision-Making with Continuous Risk Preference: A Unified Framework of Entropy-Regularized HJB and Soft Actor-Critic
inferred← citeshttps://doi.org/10.3390/sym18050843openalex-snapshot
Spatially Heterogeneous Resilient V2G-Enabled Grid Frequency Control via an Adversarially Trained Structural Switching Framework
inferred← citeshttps://doi.org/10.48084/etasr.9335openalex-snapshot
Model-Free Swing-Up and Balance Control of a Rotary Inverted Pendulum using the TD3 Algorithm: Simulation and Experiments
inferred← citeshttps://doi.org/10.59400/cai2923openalex-snapshot
Multifidelity Bayesian optimization for hyperparameter tuning of deep reinforcement learning algorithms
inferred← citeshttps://doi.org/10.61435/ijred.2024.59988openalex-snapshot
Energy optimization management of microgrid using improved soft actor-critic algorithm
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