Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers
cs.LG
Submitted: 2026-09-29
Updated: 2026-10-02
Code: https://github.com/hanyi2021/GC_OPD
Terminology
Sources
- On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
- Hindsight Experience Replay
- Look Ahead Before You Distill: Future Trajectory Validation of Teacher Guidance for Agentic On-Policy Distillation
- Learning by Cheating
- Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning
- TextWorld: A Learning Environment for Text-based Games
- PAST: Privileged Adaptation from Complete Student Trajectories for On-Policy Self-Distillation
- TIGPO: Temporal Instance-Graph Policy Optimization for Long-Horizon LLM Agents
- MiniLLM: On-Policy Distillation of Large Language Models
- Distilling the Knowledge in a Neural Network
- ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
- Proximal Policy Optimization Algorithms
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- ATOD: Annealed Turn-Aware On-Policy Distillation for Multi-Turn Agentic Tasks
- Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
- TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
- ScienceWorld: Is your Agent Smarter than a 5th Grader?
- Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning
- AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
- SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning
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