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Variance aware reward smoothing for deep reinforcement learning

https://doi.org/10.1016/j.neucom.2021.06.014
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1007/s12559-016-9404-xopenalex-snapshot
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
inferredcites →https://doi.org/10.1016/j.neucom.2017.08.043openalex-snapshot
Facial expression recognition via learning deep sparse autoencoders
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.008openalex-snapshot
Principled reward shaping for reinforcement learning via lyapunov stability theory
inferredcites →https://doi.org/10.1016/j.neucom.2020.04.001openalex-snapshot
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip
inferredcites →https://doi.org/10.1016/s0925-2312(00)00324-6openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1023/a:1022633531479openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1023/a:1022676722315openalex-snapshot
Technical Note: Q-Learning
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1038/s41586-020-03051-4openalex-snapshot
Mastering Atari, Go, chess and shogi by planning with a learned model
inferredcites →https://doi.org/10.1080/00207721.2020.1803436openalex-snapshot
Understanding the mechanism of human–computer game: a distributed reinforcement learning perspective
inferredcites →https://doi.org/10.1080/00207721.2020.1803439openalex-snapshot
Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay
inferredcites →https://doi.org/10.1080/00207721.2020.1839142openalex-snapshot
Continuous-time reinforcement learning for robust control under worst-case uncertainty
inferredcites →https://doi.org/10.1109/tits.2021.3054625openalex-snapshot
Deep Reinforcement Learning for Autonomous Driving: A Survey
inferredcites →https://doi.org/10.1109/tnano.2019.2932271openalex-snapshot
An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnnls.2019.2959129openalex-snapshot
Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient
inferredcites →https://doi.org/10.1117/12.2558212openalex-snapshot
Obstacle avoidance and navigation utilizing reinforcement learning with reward shaping
inferredcites →https://doi.org/10.1126/science.153.3731.34openalex-snapshot
Dynamic Programming
inferredcites →https://doi.org/10.1177/0278364919887447openalex-snapshot
Learning dexterous in-hand manipulation
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.24963/ijcai.2018/414openalex-snapshot
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
inferredcites →https://doi.org/10.24963/ijcai.2019/324openalex-snapshot
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards
inferredcites →https://doi.org/10.24963/ijcai.2020openalex-snapshot
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
inferredcites →https://doi.org/10.24963/ijcai.2020/396openalex-snapshot
Constrained Policy Improvement for Efficient Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1312.5602openalex-snapshot
Playing Atari with Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1502.05477openalex-snapshot
Trust Region Policy Optimization
inferredcites →https://doi.org/10.48550/arxiv.1805.03359openalex-snapshot
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1812.05905openalex-snapshot
Soft Actor-Critic Algorithms and Applications
inferredcites →https://doi.org/10.48550/arxiv.2007.05520openalex-snapshot
Representations for Stable Off-Policy Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2010.09177openalex-snapshot
Softmax Deep Double Deterministic Policy Gradients

What points at this work

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

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Combining Information-Seeking Exploration and Reward Maximization: Unified Inference on Continuous State and Action Spaces Under Partial Observability
inferred← citeshttps://doi.org/10.2139/ssrn.4592179openalex-extracted
inferred← citeshttps://doi.org/10.1002/adma.72332openalex-snapshot
Coupling Data‐Driven and Reinforcement Learning for Material Development and Device Management in Batteries
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110543openalex-snapshot
Deep reinforcement learning for optimal rescue path planning in uncertain and complex urban pluvial flood scenarios
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110756openalex-snapshot
Deep reinforcement learning with reward shaping for tracking control and vibration suppression of flexible link manipulator
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129973openalex-snapshot
Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.134595openalex-snapshot
Enhancement of hydrologic model optimization with single-step reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.01.076openalex-snapshot
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128471openalex-snapshot
Reward shaping via expectation maximization method
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130204openalex-snapshot
Reward shaping in reinforcement learning for robotic hand manipulation
inferred← citeshttps://doi.org/10.1016/j.phycom.2025.102870openalex-snapshot
DRL-based resource allocation for max–min fairness in V2V network
inferred← citeshttps://doi.org/10.1038/s41598-026-62933-1openalex-snapshot
Multi-agent deep reinforcement learning for resilient recovery of electric–gas coupled energy systems under extreme disasters
inferred← citeshttps://doi.org/10.1080/17460441.2022.2072288openalex-snapshot
Reinforcement learning for systems pharmacology-oriented and personalized drug design
inferred← citeshttps://doi.org/10.1109/ccdc55256.2022.10033563openalex-snapshot
Energy-Efficient Motion Planning and Control for Robotic Arms via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tgcn.2025.3622318openalex-snapshot
Analysis of Uplink Transmission Scheduling Strategies for LoRa-Based Direct-to-Satellite IoT Networks Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/wcnc57260.2024.10571061openalex-snapshot
UAV Data Collection With Deep Reinforcement Learning for Grant-Free IoT
inferred← citeshttps://doi.org/10.1145/3534678.3539095openalex-snapshot
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace
inferred← citeshttps://doi.org/10.1145/3727146openalex-snapshot
Deep Reinforcement Learning-Based Resource Allocation with Enhanced Perception and Low-Latency for Autonomous Driving in ISAC-aided VEC
inferred← citeshttps://doi.org/10.1155/2022/5844290openalex-snapshot
Exploring Multiple Application Scenarios of Visual Communication Course Using Deep Learning Under the Digital Twins
inferred← citeshttps://doi.org/10.1162/neco_a_01698openalex-snapshot
Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability
inferred← citeshttps://doi.org/10.3390/electronics13010116openalex-snapshot
Automated Hyperparameter Tuning in Reinforcement Learning for Quadrupedal Robot Locomotion
inferred← citeshttps://doi.org/10.4018/ijitsa.411703openalex-snapshot
Application of Deep Learning Algorithm in Visual Communication for Learning Behavior
inferred← citeshttps://doi.org/10.47495/okufbed.1031976openalex-snapshot
Evaluatıon of DDPG and PPO Algorıthms for Bıpedal Robot Control
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