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 1971–1980 of 15113 papers

Title	Date	Tasks	Status	Hype
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings	Nov 25, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Simple random search provides a competitive approach to reinforcement learning	Mar 19, 2018	Computational Efficiencycontinuous-control	CodeCode Available	1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images	Aug 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning	Oct 22, 2020	Offline RLreinforcement-learning	CodeCode Available	1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning	Mar 8, 2021	CPUreinforcement-learning	CodeCode Available	1
Computational Performance of Deep Reinforcement Learning to find Nash Equilibria	Apr 26, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning	Oct 11, 2022	Offline RLreinforcement-learning	CodeCode Available	1
Simultaneous Navigation and Construction Benchmarking Environments	Mar 31, 2021	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning	Apr 25, 2023	D4RLImage Generation	CodeCode Available	1
Learning to combine primitive skills: A step towards versatile robotic manipulation	Aug 2, 2019	Data AugmentationImitation 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