Here [ W2F(µ)]( ) : Rd Rd is the Wasserstein gradient ofF at µ. This perspective is fruitful in two ways.

Recurrent spiking neural networks (RSNNs) hold great potential for advancing artificial general intelligence, as they draw inspiration from the biological nervous system and show promise in modeling complex dynamics.

In this work, we take the first steps in making use of this connection.

Extensive evaluation shows that our ProEdit achieves state-of-the-art results in various scenes and challengingeditingtasks, allthroughasimpleframework withoutanyexpensiveor sophisticated add-ons likedistillation losses, components, ortraining procedures.

Bandits, Reinforcement Learning

There have been multiple recent approaches to obtain a near-optimal policy in CMDPs in the regret-minimization or PAC-RL settings [13, 38, 9, 19, 31, 22, 36, 12, 15, 16, 11].