DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction

Ameya Pore, Riccardo Muradore, Diego Dall'Alba

Reinforcement Learning (RL) algorithms can learn robotic control tasks from visual observations, but they often require a large amount of data, especially when the visual scene is…