Episodes (Page 10)
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Episode: FLEX Robot-Agnostic Force-Based Manipulation Learning
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ZeroTIR trains LLMs to use Python for math via RL.
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RLVR may not fundamentally improve LLM reasoning beyond base models.
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Reward model quality, not just accuracy, impacts RLHF efficiency.
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Graph RL optimizes power grid control with masked actions.
Graph Reinforcement Learning
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LGTC-IPPO uses dynamic cluster agreements for decentralized resource allocation.
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RL enables humanoid robots for dexterous manipulation using vision.
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µCODE generates code iteratively using single-step execution rewards.
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CRPO improves machine translation data selection for LLMs.
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MiCRo framework learns diverse human preferences for LLMs
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ProRL enhances LLM reasoning with KL divergence control
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Open CaptchaWorld benchmarks multimodal AI agents
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ProxyThinker guides large models with small reasoners
Small Reasoners
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DexMachina enables functional bimanual manipulation
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3DMEM-BENCH advances embodied AI with dual-memory system
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Podcast details a seven-stage LLM fine-tuning pipeline
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RENT improves LLM reasoning using unsupervised RL
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Analyzes critical points in random neural networks
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BAGEL unifies image understanding and generation
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Introduces R1-Searcher++, a framework for LLMs to improve factual question answering.