Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning

Alex Ayoub, Kaiwen Wang, Vincent Liu +5

We propose training fitted Q-iteration with log-loss (FQI-log) for batch reinforcement learning (RL). We show that the number of samples needed to learn a near-optimal policy with…