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 1181–1190 of 15113 papers

Title	Date	Tasks	Status	Hype
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control	Feb 16, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Safe Reinforcement Learning by Imagining the Near Future	Feb 15, 2022	continuous-controlContinuous Control	CodeCode Available	1
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand	Feb 15, 2022	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1
QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms	Feb 14, 2022	OpenAI Gymreinforcement-learning	CodeCode Available	1
Supported Policy Optimization for Offline Reinforcement Learning	Feb 13, 2022	Offline RLreinforcement-learning	CodeCode Available	1
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning	Feb 12, 2022	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	1
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems	Feb 11, 2022	Recommendation Systemsreinforcement-learning	CodeCode Available	1
The Shapley Value in Machine Learning	Feb 11, 2022	BIG-bench Machine LearningData Valuation	CodeCode Available	1
Contextualize Me -- The Case for Context in Reinforcement Learning	Feb 9, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL	Feb 9, 2022	Offline RLReinforcement Learning (RL)	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