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 221–230 of 15113 papers

Title	Date	Tasks	Status	Hype
Efficient Online Reinforcement Learning with Offline Data	Feb 6, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	2
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning	Dec 16, 2020	Model-based Reinforcement LearningPrediction	CodeCode Available	2
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data	Dec 10, 2024	Offline RLReinforcement Learning (RL)	CodeCode Available	2
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control	Mar 3, 2021	BenchmarkingMulti-agent Reinforcement Learning	CodeCode Available	2
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction	Oct 29, 2019	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	2
Efficient World Models with Context-Aware Tokenization	Jun 27, 2024	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	2
Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning	Apr 17, 2025	Multimodal ReasoningReinforcement Learning (RL)	CodeCode Available	2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation	May 12, 2025	Language ModelingLanguage Modelling	CodeCode Available	2
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems	Feb 23, 2024	Recommendation SystemsReinforcement Learning (RL)	CodeCode Available	2
A Comparative Study of Algorithms for Intelligent Traffic Signal Control	Sep 2, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	2

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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