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 1161–1170 of 15113 papers

Title	Date	Tasks	Status	Hype
Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading	Mar 9, 2022	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration	Mar 8, 2022	Decision Makingreinforcement-learning	CodeCode Available	1
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment	Mar 7, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Reinforcement Learning for Entity Alignment	Mar 7, 2022	Decision MakingDeep Reinforcement Learning	CodeCode Available	1
Influencing Long-Term Behavior in Multiagent Reinforcement Learning	Mar 7, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Testing Stationarity and Change Point Detection in Reinforcement Learning	Mar 3, 2022	Change Point Detectionreinforcement-learning	CodeCode Available	1
Affordance Learning from Play for Sample-Efficient Policy Learning	Mar 1, 2022	Deep Reinforcement LearningMotion Planning	CodeCode Available	1
Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding	Feb 28, 2022	Network Embeddingreinforcement-learning	CodeCode Available	1
Avalanche RL: a Continual Reinforcement Learning Library	Feb 28, 2022	Continual LearningOpenAI Gym	CodeCode Available	1
Combining Modular Skills in Multitask Learning	Feb 28, 2022	Instruction Followingreinforcement-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