Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper
• 2407.20798 • Published
• 24
Reinforcement learning
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Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 21 -
OTC: Optimal Tool Calls via Reinforcement Learning
Paper • 2504.14870 • Published • 35 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 98 -
Thinkless: LLM Learns When to Think
Paper • 2505.13379 • Published • 50 -
Visual Agentic Reinforcement Fine-Tuning
Paper • 2505.14246 • Published • 32 -
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
Paper • 2505.11711 • Published • 11 -
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Paper • 2505.14810 • Published • 62 -
TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Paper • 2505.14625 • Published • 13 -
ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
Paper • 2505.15776 • Published • 11 -
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
Paper • 2505.16483 • Published • 10 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
Synthetic Data RL: Task Definition Is All You Need
Paper • 2505.17063 • Published • 11 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 144 -
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 188 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Paper • 2506.14245 • Published • 45 -
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
Paper • 2507.03112 • Published • 34 -
Pre-Trained Policy Discriminators are General Reward Models
Paper • 2507.05197 • Published • 39 -
High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning
Paper • 2507.05920 • Published • 12 -
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 24 -
The Invisible Leash: Why RLVR May Not Escape Its Origin
Paper • 2507.14843 • Published • 85 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 134 -
A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning
Paper • 2507.14295 • Published • 14 -
Geometric-Mean Policy Optimization
Paper • 2507.20673 • Published • 32 -
Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following
Paper • 2508.02150 • Published • 37 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Paper • 2508.08221 • Published • 50 -
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
Paper • 2508.08791 • Published • 16 -
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
Paper • 2508.10751 • Published • 29 -
DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Paper • 2508.14460 • Published • 85 -
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 24 -
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
Paper • 2508.17445 • Published • 80 -
Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning
Paper • 2508.20751 • Published • 89 -
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Paper • 2508.21113 • Published • 110 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 231 -
Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
Paper • 2509.02522 • Published • 26 -
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 84 -
Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers
Paper • 2509.06493 • Published • 12 -
Language Self-Play For Data-Free Training
Paper • 2509.07414 • Published • 31 -
Bootstrapping Task Spaces for Self-Improvement
Paper • 2509.04575 • Published • 6 -
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
Paper • 2509.06949 • Published • 56 -
Reinforcement Learning Foundations for Deep Research Systems: A Survey
Paper • 2509.06733 • Published • 32 -
RewardDance: Reward Scaling in Visual Generation
Paper • 2509.08826 • Published • 73 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 190 -
Single-stream Policy Optimization
Paper • 2509.13232 • Published • 34 -
Tree Search for LLM Agent Reinforcement Learning
Paper • 2509.21240 • Published • 92 -
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
Paper • 2509.22576 • Published • 135 -
Variational Reasoning for Language Models
Paper • 2509.22637 • Published • 69 -
TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
Paper • 2509.25760 • Published • 55 -
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Paper • 2509.22601 • Published • 30 -
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
Paper • 2509.25849 • Published • 48 -
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
Paper • 2509.26628 • Published • 17 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 146 -
BroRL: Scaling Reinforcement Learning via Broadened Exploration
Paper • 2510.01180 • Published • 20 -
RLP: Reinforcement as a Pretraining Objective
Paper • 2510.01265 • Published • 44 -
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training
Paper • 2510.04996 • Published • 16 -
Training-Free Group Relative Policy Optimization
Paper • 2510.08191 • Published • 45 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 273 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 33 -
Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents
Paper • 2510.14967 • Published • 34 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 106 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 62 -
Unified Reinforcement and Imitation Learning for Vision-Language Models
Paper • 2510.19307 • Published • 32 -
Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values
Paper • 2510.20187 • Published • 19 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 48 -
Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
Paper • 2510.27606 • Published • 31 -
DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
Paper • 2511.06307 • Published • 53 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Paper • 2511.08567 • Published • 34 -
Soft Adaptive Policy Optimization
Paper • 2511.20347 • Published • 42 -
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Paper • 2511.19399 • Published • 62 -
SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
Paper • 2512.02807 • Published • 9 -
PretrainZero: Reinforcement Active Pretraining
Paper • 2512.03442 • Published • 48 -
On GRPO Collapse in Search-R1: The Lazy Likelihood-Displacement Death Spiral
Paper • 2512.04220 • Published • 16 -
BEAVER: An Efficient Deterministic LLM Verifier
Paper • 2512.05439 • Published • 36 -
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
Paper • 2512.17008 • Published • 11 -
Reinforcement Learning for Self-Improving Agent with Skill Library
Paper • 2512.17102 • Published • 36 -
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
Paper • 2512.19673 • Published • 64 -
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
Paper • 2512.20605 • Published • 62 -
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
Paper • 2512.21625 • Published • 4 -
Evaluating Parameter Efficient Methods for RLVR
Paper • 2512.23165 • Published • 28 -
VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation
Paper • 2601.02256 • Published • 33 -
Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes
Paper • 2601.02356 • Published • 14 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 228 -
AT^2PO: Agentic Turn-based Policy Optimization via Tree Search
Paper • 2601.04767 • Published • 28 -
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
Paper • 2601.06021 • Published • 47 -
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Paper • 2601.06487 • Published • 53 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 95 -
Behavior Knowledge Merge in Reinforced Agentic Models
Paper • 2601.13572 • Published • 25 -
LongCat-Flash-Thinking-2601 Technical Report
Paper • 2601.16725 • Published • 176 -
Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow
Paper • 2601.14243 • Published • 23 -
Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
Paper • 2601.20614 • Published • 119 -
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Paper • 2602.02488 • Published • 32 -
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
Paper • 2601.22975 • Published • 107 -
Unified Personalized Reward Model for Vision Generation
Paper • 2602.02380 • Published • 20 -
Rethinking the Trust Region in LLM Reinforcement Learning
Paper • 2602.04879 • Published • 35 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 29 -
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
Paper • 2602.03048 • Published • 32 -
Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR
Paper • 2602.05261 • Published • 49 -
Reinforcement World Model Learning for LLM-based Agents
Paper • 2602.05842 • Published • 27 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 28 -
Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
Paper • 2602.05885 • Published • 28 -
Steering LLMs via Scalable Interactive Oversight
Paper • 2602.04210 • Published • 18 -
WorldCompass: Reinforcement Learning for Long-Horizon World Models
Paper • 2602.09022 • Published • 20 -
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
Paper • 2602.06422 • Published • 44 -
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
Paper • 2602.06540 • Published • 21 -
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
Paper • 2602.08847 • Published • 26 -
Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
Paper • 2602.10224 • Published • 19 -
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
Paper • 2602.12036 • Published • 98 -
Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments
Paper • 2602.11964 • Published • 12 -
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning
Paper • 2602.11748 • Published • 30 -
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 68 -
ResearchGym: Evaluating Language Model Agents on Real-World AI Research
Paper • 2602.15112 • Published • 20 -
PyVision-RL: Forging Open Agentic Vision Models via RL
Paper • 2602.20739 • Published • 28 -
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
Paper • 2602.21534 • Published • 22