2021
Towards Robust Bisimulation Metric Learning
NeurIPS 2021poster
Learned representations in deep reinforcement learning (DRL) have to extract task-relevant information from complex observations, balancing between robustness to distraction and informativeness to the policy. Such stable and rich representations, often learned via modern function approximation techn…