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 1591–1600 of 15113 papers

Title	Date	Tasks	Status	Hype
Reinforcement Learning with Prototypical Representations	Feb 22, 2021	continuous-controlContinuous Control	CodeCode Available	1
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments	Feb 22, 2021	MinecraftProgram Synthesis	CodeCode Available	1
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player	Feb 21, 2021	Collision AvoidanceDeep Reinforcement Learning	CodeCode Available	1
Decoupling Value and Policy for Generalization in Reinforcement Learning	Feb 20, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space	Feb 19, 2021	Reinforcement Learning (RL)	CodeCode Available	1
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning	Feb 18, 2021	BIG-bench Machine LearningCombinatorial Optimization	CodeCode Available	1
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes	Feb 18, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Adaptive Rational Activations to Boost Deep Reinforcement Learning	Feb 18, 2021	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
State Entropy Maximization with Random Encoders for Efficient Exploration	Feb 18, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning	Feb 15, 2021	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