PTGPO: Prefix Tree Group Policy Optimization
cs.LG, cs.AI
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/mpSchrader/gym-sokoban
Sources
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- Qwen3 Technical Report
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Milestone-Guided Policy Learning for Long-Horizon Language Agents
- Hindsight Credit Assignment for Long-Horizon LLM Agents
- GPT-4o System Card
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- ReAct: Synergizing Reasoning and Acting in Language Models
- Proximal Policy Optimization Algorithms
- Qwen2.5 Technical Report
- Qwen2.5-VL Technical Report
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