Zequan Wu

Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions

The Forward-Forward (FF) Algorithm is a recently proposed learning procedure for neural networks that employs two forward passes instead of the traditional forward and backward passes used in backpropagation. However, FF remains largely confined to supervised settings, leaving a gap at domains where…