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 4401–4425 of 15113 papers

Title	Date	Tasks	Status	Score
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization	Aug 13, 2019	BIG-bench Machine Learningreinforcement-learning	CodeCode Available	5
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review	Aug 27, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario	Sep 25, 2022	Imitation LearningReinforcement Learning (RL)	CodeCode Available	5
Unsupervised Task Clustering for Multi-Task Reinforcement Learning	Jan 1, 2021	Atari GamesClustering	CodeCode Available	5
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events	Oct 3, 2021	Meta-LearningMeta Reinforcement Learning	CodeCode Available	5
Unsupervised Video Object Segmentation for Deep Reinforcement Learning	May 20, 2018	Atari GamesDecision Making	CodeCode Available	5
Unsupervised Visuomotor Control through Distributional Planning Networks	Feb 14, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms	Feb 10, 2021	Deep Reinforcement LearningMatrix Completion	CodeCode Available	5
Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model	May 26, 2025	DiagnosticReinforcement Learning (RL)	CodeCode Available	5
Model-Based Offline Planning with Trajectory Pruning	May 16, 2021	modelOffline RL	CodeCode Available	5
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets	May 13, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	5
Urban Driving with Multi-Objective Deep Reinforcement Learning	Nov 21, 2018	Autonomous DrivingDeep Reinforcement Learning	CodeCode Available	5
Model-based Offline Policy Optimization with Adversarial Network	Sep 5, 2023	modelOffline RL	CodeCode Available	5
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief	Oct 13, 2022	D4RLOffline RL	CodeCode Available	5
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control	Nov 21, 2019	Atari Gamesreinforcement-learning	CodeCode Available	5
Policy Consolidation for Continual Reinforcement Learning	Feb 1, 2019	Continual Learningcontinuous-control	CodeCode Available	5
USHER: Unbiased Sampling for Hindsight Experience Replay	Jul 3, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	5
Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration	Oct 16, 2024	Reinforcement Learning (RL)	CodeCode Available	5
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning	Mar 7, 2025	Offline RLreinforcement-learning	CodeCode Available	5
Policy Continuation with Hindsight Inverse Dynamics	Oct 30, 2019	Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	5
Policy Distillation	Nov 19, 2015	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis	Jul 29, 2022	Meta-LearningMeta Reinforcement Learning	CodeCode Available	5
Multi-Agent Adversarial Inverse Reinforcement Learning	Jul 30, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Multi-Agent Advisor Q-Learning	Oct 26, 2021	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
M^2DQN: A Robust Method for Accelerating Deep Q-learning Network	Sep 16, 2022	Q-Learningreinforcement-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