Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3151–3175 of 15113 papers

Title	Date	Tasks	Status	Score
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments	Jun 21, 2018	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework	Dec 10, 2021	Adversarial AttackAutonomous Driving	CodeCode Available	5
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents	Oct 7, 2021	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?	Apr 2, 2021	Reinforcement Learning (RL)	CodeCode Available	5
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy	Jul 2, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Conservative Optimistic Policy Optimization via Multiple Importance Sampling	Mar 4, 2021	Atari GamesGame of Go	CodeCode Available	5
Homogenization of Multi-agent Learning Dynamics in Finite-state Markov Games	Jun 26, 2025	Reinforcement Learning (RL)	CodeCode Available	5
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy	Sep 29, 2020	Atari GamesReinforcement Learning (RL)	CodeCode Available	5
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving	Apr 5, 2019	Automated Theorem ProvingBIG-bench Machine Learning	CodeCode Available	5
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators	Oct 24, 2019	Hierarchical Reinforcement Learningreinforcement-learning	CodeCode Available	5
Hybrid Reinforcement Learning with Expert State Sequences	Mar 11, 2019	Atari GamesImitation Learning	CodeCode Available	5
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization	Oct 7, 2022	continuous-controlContinuous Control	CodeCode Available	5
Hindsight Trust Region Policy Optimization	Jul 29, 2019	Atari GamesPolicy Gradient Methods	CodeCode Available	5
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning	Feb 13, 2024	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Hindsight policy gradients	Nov 16, 2017	Policy Gradient Methodsreinforcement-learning	CodeCode Available	5
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning	Sep 29, 2018	ManagementMulti-agent Reinforcement Learning	CodeCode Available	5
H_ Model-free Reinforcement Learning with Robust Stability Guarantee	Nov 7, 2019	Autonomous Drivingreinforcement-learning	CodeCode Available	5
Hindsight Credit Assignment	Dec 5, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Hindsight Foresight Relabeling for Meta-Reinforcement Learning	Sep 18, 2021	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	5
Highway Graph to Accelerate Reinforcement Learning	May 20, 2024	reinforcement-learningReinforcement Learning	CodeCode Available	5
Hindsight Learning for MDPs with Exogenous Inputs	Jul 13, 2022	counterfactualDecision Making	CodeCode Available	5
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning	Jul 19, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Hint assisted reinforcement learning: an application in radio astronomy	Jan 10, 2023	AstronomyModel-based Reinforcement Learning	CodeCode Available	5
Hierarchical Text Generation and Planning for Strategic Dialogue	Dec 15, 2017	Decision Makingreinforcement-learning	CodeCode Available	5
Conjugated Discrete Distributions for Distributional Reinforcement Learning	Dec 14, 2021	Atari GamesDistributional Reinforcement Learning	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified