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 951–960 of 15113 papers

Title	Date	Tasks	Status	Hype
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning	Oct 12, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL	Oct 12, 2022	Contrastive LearningOut-of-Distribution Generalization	CodeCode Available	1
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories	Oct 12, 2022	D4RLOffline RL	CodeCode Available	1
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning	Oct 11, 2022	Hierarchical Reinforcement Learningreinforcement-learning	CodeCode Available	1
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning	Oct 11, 2022	Offline RLreinforcement-learning	CodeCode Available	1
Multi-Object Navigation with dynamically learned neural implicit representations	Oct 11, 2022	ObjectReinforcement Learning (RL)	CodeCode Available	1
Exploration via Elliptical Episodic Bonuses	Oct 11, 2022	Reinforcement Learning (RL)	CodeCode Available	1
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning	Oct 10, 2022	Data Augmentationreinforcement-learning	CodeCode Available	1
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation	Oct 10, 2022	Autonomous NavigationBenchmarking	CodeCode Available	1
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation Control	Oct 10, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1

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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