Hierarchical Imitation Learning for Stochastic Environments
Maximilian Igl,Punit Shah,Paul Mougin,Sirish Srinivasan,Tarun Gupta,Brandyn White,Kyriacos Shiarlis,Shimon Whiteson,Maximilian Igl,Punit Shah,Paul Mougin,Sirish Srinivasan,Tarun Gupta,Brandyn White,Kyriacos Shiarlis,Shimon Whiteson
Many applications of imitation learning require the agent to generate the full distribution of behaviour observed in the training data. For example, to evaluate the safety of autonomous vehicles in simulation, accurate and diverse behaviour models of other road users are paramount. Existing methods that improve this distributional realism typically rely on hierarchical policies. These condition th...
