arXiv Machine Learning
Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane
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Where the Model Changes Its Mind: Hindsight-Divergence Localization for Efficient Reinforcement Learning with Verifiable Rewards
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Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback
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RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning
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Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution
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