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Recursive belief updates in AgentOPSD reveal pivotal decision points, leading to a 89.1% success rate on complex RL tasks.
World rehearsal enables LLM agents to internalize environment dynamics, achieving superior performance without costly external interactions.
VAD reveals that isolating visual evidence can dramatically improve target reconstruction in multimodal learning, leading to more accurate student outputs.
SkillRise achieves up to 8.5 percentage points better performance than leading methods by effectively reusing transferable skills across related tasks.
LLM agents can internalize skills via in-context RL, achieving zero-shot autonomous behavior without the token overhead and retrieval noise of traditional methods.
