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 1451–1460 of 15113 papers

Title	Date	Tasks	Status	Hype
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	Feb 5, 2018	Atari Gamesreinforcement-learning	CodeCode Available	1
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO	May 25, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs	Jul 5, 2022	Fairnessreinforcement-learning	CodeCode Available	1
Implicit Distributional Reinforcement Learning	Jul 13, 2020	Distributional Reinforcement LearningOpenAI Gym	CodeCode Available	1
Accelerating Reinforcement Learning with Learned Skill Priors	Oct 22, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Improving and Benchmarking Offline Reinforcement Learning Algorithms	Jun 1, 2023	AttributeBenchmarking	CodeCode Available	1
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay	Jun 5, 2025	Reinforcement Learning (RL)	CodeCode Available	1
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture	May 28, 2021	Meta Reinforcement LearningMuJoCo	CodeCode Available	1
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards	Jun 27, 2020	Machine Translationreinforcement-learning	CodeCode Available	1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning	Nov 12, 2019	Combinatorial OptimizationGraph Embedding	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