Current Actor-Critic Reinforcement Learning algorithms face a fundamental limitation. The critic has to implicitly learn about the current state of the policy embodied by the actor. This in turn leads ...

Abstract: A recent approach uses linear programming (LP) to compute continuous and piecewise affine (CPA) Lyapunov functions for arbitrary switched linear systems. Such a Lyapunov function is a common ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

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