Paper Notes

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Reward & Training Methodology

文件夹: Papers/Agent/Reward--and--Training-Methodology

此文件夹下有10条笔记。

2026年5月
AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs
2026年5月
Self-Distilled Agentic Reinforcement Learning
2026年5月
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
2026年4月
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models
2026年4月
RAGEN-2: Reasoning Collapse in Agentic RL
2026年4月
Signals: Trajectory Sampling and Triage for Agentic Interactions
2026年4月
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
2026年4月
TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
2026年4月
TRACE: Capability-Targeted Agentic Training
2026年3月
EVA: Efficient Reinforcement Learning for End-to-End Video Agent

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