no code implementations • 30 Jun 2021 • Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu
We explore methodologies to improve the robustness of generative adversarial imitation learning (GAIL) algorithms to observation noise.
1 code implementation • 8 Mar 2021 • Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Scott Niekum, Ufuk Topcu
We introduce Self-supervised Online Reward Shaping (SORS), which aims to improve the sample efficiency of any RL algorithm in sparse-reward environments by automatically densifying rewards.