Scalable Exploration via Ensemble++

The Exploration Challenge in Deep RL Thompson Sampling is one of the most elegant algorithms for balancing exploration and exploitation in sequential decision-making. The idea is simple: maintain a posterior distribution over reward functions, sample from it, and act optimally with respect to the sample. This approach naturally trades off exploring uncertain regions against exploiting known good…