Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese,Christopher Atkeson,Mrinal Verghese,Christopher Atkeson
Tasks where the set of possible actions depend discontinuously on the state pose a significant challenge for current reinforcement learning algorithms. For example, a locked door must be first unlocked, and then the handle turned before the door can be opened. The sequential nature of these tasks makes obtaining final rewards difficult, and transferring information between task variants using cont...
