Proximal Policy Optimization in Path Space: A Schrödinger Bridge Perspective
Proximal Policy Optimization in Path Space: A Schrödinger Bridge Perspective explores A theoretical framework for optimizing generative reinforcement learning policies by reformulating proximal policy optimization in path space.. Commercial viability score: 3/10 in Reinforcement Learning.
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