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Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

https://doi.org/10.3390/math13050833
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Evolutionary reinforcement learning algorithm for large-scale multi-agent cooperation and confrontation applications
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Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer
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Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning
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Principal component analysis
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The Cross-Entropy Method for Optimization
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Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation
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Exploring cooperative evolution with tunable payoff’s loners using reinforcement learning
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Interpretable policies for reinforcement learning by genetic programming
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Covariance matrix adaptation evolution strategy based on correlated evolution paths with application to reinforcement learning
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Coordinated voltage regulation of high renewable-penetrated distribution networks: An evolutionary curriculum-based deep reinforcement learning approach
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Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
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Recruitment-imitation mechanism for evolutionary reinforcement learning
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Evolutionary reinforcement learning with action sequence search for imperfect information games
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Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning
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Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment
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Adaptive evolution strategy with ensemble of mutations for Reinforcement Learning
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FAIR: Fair adversarial instance re-weighting
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A survey on Evolutionary Reinforcement Learning algorithms
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Evolutionary-assisted reinforcement learning for reservoir real-time production optimization under uncertainty
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Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search
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Reinforcement learning-based hybrid differential evolution for global optimization of interplanetary trajectory design
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Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
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Embodied intelligence via learning and evolution
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Efficient Novelty Search Through Deep Reinforcement Learning
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Reinforcement Learning-Based Routing Protocols for Vehicular Ad Hoc Networks: A Comparative Survey
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Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches
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An Evolutionary Reinforcement Learning Scheme for IoT Robustness
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Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation
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Evolutionary algorithms: A critical review and its future prospects
inferredcites →https://doi.org/10.1109/ijcnn54540.2023.10191982openalex-snapshot
Evolving Constrained Reinforcement Learning Policy
inferredcites →https://doi.org/10.1109/inciscos.2018.00050openalex-snapshot
Parameters Tuning and Optimization for Reinforcement Learning Algorithms Using Evolutionary Computing
inferredcites →https://doi.org/10.1109/irc.2019.00121openalex-snapshot
Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization
inferredcites →https://doi.org/10.1109/iros.2003.1250664openalex-snapshot
Evolution of meta-parameters in reinforcement learning algorithm
inferredcites →https://doi.org/10.1109/iros51168.2021.9636234openalex-snapshot
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
inferredcites →https://doi.org/10.1109/jas.2021.1004129openalex-snapshot
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
inferredcites →https://doi.org/10.1109/tcds.2022.3221805openalex-snapshot
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes
inferredcites →https://doi.org/10.1109/tcomm.2020.2973080openalex-snapshot
Factor Graph Based Message Passing Algorithms for Joint Phase-Noise Estimation and Decoding in OFDM-IM
inferredcites →https://doi.org/10.1109/tcyb.2019.2944873openalex-snapshot
Adaptive Distributed Differential Evolution
inferredcites →https://doi.org/10.1109/tevc.2005.850290openalex-snapshot
Adaptation Technique for Integrating Genetic Programming and Reinforcement Learning for Real Robots
inferredcites →https://doi.org/10.1109/tevc.2010.2059031openalex-snapshot
Differential Evolution: A Survey of the State-of-the-Art
inferredcites →https://doi.org/10.1109/tevc.2021.3083362openalex-snapshot
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning
inferredcites →https://doi.org/10.1109/tevc.2021.3131236openalex-snapshot
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization
inferredcites →https://doi.org/10.1109/tevc.2023.3243109openalex-snapshot
Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems
inferredcites →https://doi.org/10.1109/tii.2012.2198658openalex-snapshot
An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems
inferredcites →https://doi.org/10.1109/tits.2019.2901817openalex-snapshot
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
inferredcites →https://doi.org/10.1109/tmag.2010.2044380openalex-snapshot
The Cross-Entropy Method and Its Application to Inverse Problems
inferredcites →https://doi.org/10.1109/tnnls.2023.3264540openalex-snapshot
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
inferredcites →https://doi.org/10.1109/tnnls.2023.3280161openalex-snapshot
A Survey on Reinforcement Learning for Recommender Systems
inferredcites →https://doi.org/10.1109/tpami.2021.3057446openalex-snapshot
A continual learning survey: Defying forgetting in classification tasks
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A Comprehensive Survey of Continual Learning: Theory, Method and Application
inferredcites →https://doi.org/10.1109/tsmc.2023.3345928openalex-snapshot
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
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Transformative neural representations support long-term episodic memory
inferredcites →https://doi.org/10.1145/2996355openalex-snapshot
A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms
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Deep reinforcement learning for page-wise recommendations
inferredcites →https://doi.org/10.1145/3447548.3467281openalex-snapshot
Federated Adversarial Debiasing for Fair and Transferable Representations
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Policy gradient assisted MAP-Elites
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MAEDyS
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Evolutionary reinforcement learning for sparse rewards
inferredcites →https://doi.org/10.1145/3512290.3528705openalex-snapshot
Approximating gradients for differentiable quality diversity in reinforcement learning
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Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
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Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey
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SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
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Novelty Seeking Multiagent Evolutionary Reinforcement Learning
inferredcites →https://doi.org/10.1145/3583131.3590512openalex-snapshot
Rethinking Population-assisted Off-policy Reinforcement Learning
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Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues
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Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
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Diversity Evolutionary Policy Deep Reinforcement Learning
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Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning
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Proximal Distilled Evolutionary Reinforcement Learning
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Exploring Safer Behaviors for Deep Reinforcement Learning
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ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
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Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
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Centralized Training with Decentralized Execution Reinforcement Learning for Cooperative Multi-agent Systems with Communication Delay
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A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning
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Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
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Comparative Study of NeuroEvolution Algorithms in Reinforcement Learning for Self-Driving Cars
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Evolutionary Reinforcement Learning: A Survey
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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Evolution-Guided Policy Gradient in Reinforcement Learning
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Collaborative Evolutionary Reinforcement Learning
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Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
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Guiding Evolutionary Strategies with Off-Policy Actor-Critic

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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