Archives for control

08 Mar

Vision, Control, Planning, and Generalization in RL

In the last two articles, the focus has been to measure the generalization performance of Reinforcement learning agents using Gym Retro and Procgen environments.  Both these environments used 2-D environments and were limited to the first player arcade gaming experience. However, procgen is procedurally generated but it still has the limitations of 2-D and hardly…

The post Vision, Control, Planning, and Generalization in RL appeared first on Analytics India Magazine.