Hardness in Markov Decision Processes: Theory and Practice

Michelangelo Conserva, Paulo Rauber

Meticulously analysing the empirical strengths and weaknesses of reinforcement learning methods in hard (challenging) environments is essential to inspire innovations and assess pr…