Towards Governing Agent's Efficacy: Action-Conditional $\beta$-VAE for Deep Transparent Reinforcement Learning

John Yang, Gyujeong Lee, Minsung Hyun +2

We tackle the blackbox issue of deep neural networks in the settings of reinforcement learning (RL) where neural agents learn towards maximizing reward gains in an uncontrollable w…