Murilo Fernandes Martins

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup

We present a method for fast training of vision based control policies on real robots. The key idea behind our method is to perform multi-task Reinforcement Learning with auxiliary tasks that differ not only in the reward to be optimized but also in the state-space in which they operate. In particul…