An Information-Theoretic Optimality Principle for Deep Reinforcement Learning

Felix Leibfried, Jordi Grau-Moya, Haitham Bou-Ammar

We methodologically address the problem of Q-value overestimation in deep reinforcement learning to handle high-dimensional state spaces efficiently. By adapting concepts from info…