SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 15113 papers

TitleStatusHype
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningCode15
Introduction to Reinforcement LearningCode11
Gymnasium: A Standard Interface for Reinforcement Learning EnvironmentsCode11
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language ModelCode9
SkyReels-V2: Infinite-length Film Generative ModelCode9
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language ModelCode9
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM AgentsCode7
TTRL: Test-Time Reinforcement LearningCode7
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language ReasoningCode7
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement LearningCode7
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionCode7
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement LearningCode7
Flow-GRPO: Training Flow Matching Models via Online RLCode7
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildCode7
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningCode7
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningCode7
Kimi k1.5: Scaling Reinforcement Learning with LLMsCode7
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement LearningCode6
The Dormant Neuron Phenomenon in Deep Reinforcement LearningCode6
DanceGRPO: Unleashing GRPO on Visual GenerationCode5
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution EngineCode5
Orbit: A Unified Simulation Framework for Interactive Robot Learning EnvironmentsCode5
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement LearningCode5
Enhancing Efficiency of Safe Reinforcement Learning via Sample ManipulationCode5
Marco-o1: Towards Open Reasoning Models for Open-Ended SolutionsCode5
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified