Reinforcement Learning Main Page
Click here for all Reinforcement Learning papers by Satinder Singh.
I have long been rethinking all of the three basic aspects of RL problem formulations: state, action, and reward.
A recent research effort is on combining Deep Learning and Reinforcement Learning.
- Rethinking state. This effort has led to the projects on Predictive State Representations / Spectral Learning.
- Rethinking action. My own effort on this started with my early work on temporally abstract actions in RL that led to later work on options.
- Rethinking reward. This effort has led to the projects on Optimal Rewards / Intrinsically Motivated RL.
Some older RL-papers categorizations include:
- Theoretical Results in RL.