Cross-Rollout Bellman Closure for Long-Horizon Agentic Reinforcement Learning

arXiv:2609.35082 · cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/mpSchrader/gym-sokoban

Terminology

• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
• DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
• Qwen2.5-VL Technical Report
• Reinforcement Learning for Long-Horizon Interactive LLM Agents
• Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Progress- and Reliability-Oriented Group Policy Optimization for Agentic Reinforcement Learning
• Group-in-Group Policy Optimization for LLM Agent Training
• Multimodal Web Navigation with Instruction-Finetuned Foundation Models
• Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
• When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon LLM Agent Training
• GPT-4 Technical Report
• Training language models to follow instructions with human feedback
• Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
• Qwen2.5 Technical Report
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model
• Toolformer: Language Models Can Teach Themselves to Use Tools
• Proximal Policy Optimization Algorithms
• Reflexion: Language Agents with Verbal Reinforcement Learning
• ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

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