Research paper introducing a homomorphic approach to reinforcement learning for handling delayed feedback — relevant to robotics and real-world control systems where observations lag behind actions.
Research
Delayed Homomorphic Reinforcement Learning for Environments with Delayed Feedback
Homomorphic RL method addresses delayed feedback in robotics by mathematically transforming observation lag into learnable structure, enabling real-world control systems to converge despite action-observation misalignment.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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