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 1241–1250 of 15113 papers

Title	Date	Tasks	Status	Hype
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images	Aug 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning	Aug 14, 2023	Few-Shot LearningReinforcement Learning (RL)	CodeCode Available	1
Improving Planning with Large Language Models: A Modular Agentic Architecture	Sep 30, 2023	In-Context LearningReinforcement Learning (RL)	CodeCode Available	1
Visual Grounding for Object-Level Generalization in Reinforcement Learning	Aug 4, 2024	Language ModellingObject	CodeCode Available	1
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning	Feb 25, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks	Jun 14, 2020	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning	May 30, 2024	D4RLDenoising	CodeCode Available	1
CompoSuite: A Compositional Reinforcement Learning Benchmark	Jul 8, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning	Oct 11, 2022	Offline RLreinforcement-learning	CodeCode Available	1
Contrastive Reinforcement Learning of Symbolic Reasoning Domains	Jun 16, 2021	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