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 101–150 of 15113 papers

TitleStatusHype
ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture—0
Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation—0
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making—0
Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps—0
Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language ModelsCode2
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language ModelsCode5
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under UncertaintyCode0
Eliciting Reasoning in Language Models with Cognitive Tools—0
Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning—0
ReVeal: Self-Evolving Code Agents via Iterative Generation-Verification—0
TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchCode2
Visual Pre-Training on Unlabeled Images using Reinforcement LearningCode1
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment—0
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc TeamworkCode0
Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy RegularizationCode0
PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier—0
Magistral—0
RePO: Replay-Enhanced Policy OptimizationCode1
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMsCode1
Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy—0
Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows—0
A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications—0
Bridging Continuous-time LQR and Reinforcement Learning via Gradient Flow of the Bellman Error—0
Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency—0
TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy OptimizationCode0
Policy-Based Trajectory Clustering in Offline Reinforcement Learning—0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
DeepForm: Reasoning Large Language Model for Communication System Formulation—0
Exploration by Random Reward Perturbation—0
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM ReasoningCode1
SPEED-RL: Faster Training of Reasoning Models via Online Curriculum LearningCode1
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement LearningCode2
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic SamplingCode1
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)—0
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning—0
How to Provably Improve Return Conditioned Supervised Learning?—0
Reinforcement Learning Teachers of Test Time Scaling—0
Intention-Conditioned Flow Occupancy ModelsCode1
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO—0
Play to Generalize: Learning to Reason Through Game PlayCode2
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest QuestionsCode2
Through the Valley: Path to Effective Long CoT Training for Small Language Models—0
Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information—0
Reinforcement Pre-Training—0
AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking—0
LUCIFER: Language Understanding and Context-Infused Framework for Exploration and Behavior Refinement—0
WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement LearningCode1
Thinking vs. Doing: Agents that Reason by Scaling Test-Time InteractionCode2
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future DirectionsCode1
Show:102550
← PrevPage 3 of 303Next →

Benchmark Results

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