Count-Based Exploration in Feature Space for Reinforcement Learning

Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt +1

We introduce a new count-based optimistic exploration algorithm for Reinforcement Learning (RL) that is feasible in environments with high-dimensional state-action spaces. The succ…