Research paper proposing Belief-State RWKV, applying the RWKV recurrent architecture to reinforcement learning in partially observable environments. Addresses the core RL challenge where agents must infer hidden state from incomplete observations.
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Belief-State RWKV for Reinforcement Learning under Partial Observability
RWKV recurrent architecture applied to reinforcement learning under partial observability, letting agents infer hidden state from incomplete observations—addressing a core real-world RL constraint.
Tuesday, April 14, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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