Flowing through States: Neural ODE regularization for reinforcement learning
Read the original at arxiv.org→arXiv:2608.06595v1 Announce Type: new Abstract: Neural networks applied to sequential decision-making tasks typically rely on latent representations of environment states. While environment dynamics dictate how...
Original headline: "Flowing Through States: Neural ODE Regularization for Reinforcement Learning"
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- Aug 10, 04:00 UTC arXiv cs.LG lead source Flowing Through States: Neural ODE Regularization for Reinforcement Learning