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

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Showing 1391–1400 of 15113 papers

Title	Date	Tasks	Status	Hype
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations	Aug 4, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks	Aug 1, 2021	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	1
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning	Jul 30, 2021	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available	1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm	Jul 27, 2021	Autonomous VehiclesDeep Reinforcement Learning	CodeCode Available	1
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings	Jul 23, 2021	Computational EfficiencyDecision Making	CodeCode Available	1
Accelerating Quadratic Optimization with Reinforcement Learning	Jul 22, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments	Jul 21, 2021	Deep Reinforcement LearningOpenAI Gym	CodeCode Available	1
Demonstration-Guided Reinforcement Learning with Learned Skills	Jul 21, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning	Jul 20, 2021	continuous-controlContinuous Control	CodeCode Available	1
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning	Jul 19, 2021	Multi-agent Reinforcement Learningreinforcement-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