Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper
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2407.20798
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Published
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25
Reinforcement learning
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Offline Reinforcement Learning for LLM Multi-Step Reasoning
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REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
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Learning to Reason under Off-Policy Guidance
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LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
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OTC: Optimal Tool Calls via Reinforcement Learning
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Thinkless: LLM Learns When to Think
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Visual Agentic Reinforcement Fine-Tuning
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Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
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Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
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TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
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