Multi-timestep models for Model-based Reinforcement Learning

Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas +2

In model-based reinforcement learning (MBRL), most algorithms rely on simulating trajectories from one-step dynamics models learned on data. A critical challenge of this approach i…