Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback

no code implementations • 30 Jun 2020 • Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, Raghupathy Sivakumar

Providing Reinforcement Learning (RL) agents with human feedback can dramatically improve various aspects of learning.

Autonomous Driving EEG +3

Deep Reinforcement Learning with Implicit Human Feedback

no code implementations • ICLR 2020 • Duo Xu, Mohit Agarwal, Raghupathy Sivakumar, Faramarz Fekri

Building atop the baseline, we then make the following novel contributions in our work: (i) We argue that the definition of error-potentials is generalizable across different environments; specifically we show that error-potentials of an observer can be learned for a specific game, and the definition used as-is for another game without requiring re-learning of the error-potentials.

Atari Games EEG +2