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标签: reinforcement-learning
此标签下有19条笔记。
2026年5月
DGPO: Distribution Guided Policy Optimization for Fine Grained Credit Assignment
2026年5月
Orchard: An Open-Source Agentic Modeling Framework
2026年5月
Rubric-Grounded Reinforcement Learning: Structured Judge Rewards for Generalizable Reasoning in Language Models
2026年5月
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
2026年5月
Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance
2026年4月
Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind
2026年4月
World-R1: Reinforcing 3D Constraints for Text-to-Video Generation
2026年3月
Attend Before Attention - Efficient and Scalable Video Understanding via Autoregressive Gazing
2026年3月
EVA: Efficient Reinforcement Learning for End-to-End Video Agent
2026年3月
LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
2026年2月
WorldCompass: Reinforcement Learning for Long-Horizon World Models
2026年1月
Learning to Discover at Test Time
2025年11月
Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
2025年8月
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
2025年7月
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
2025年6月
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
2025年6月
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
2025年6月
OmniGen2: Towards Instruction-Aligned Multimodal Generation
2025年5月
Skywork Open Reasoner 1 Technical Report