18 citations · 36 across the 19 of their papers we have counts for
3 papers · 1 filter
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni, Harshit Sikchi, Yufei Wang +3
Imitation learning is well-suited for robotic tasks where it is difficult to directly program the behavior or specify a cost for optimal control. In this work, we propose a method…
Learning Off-Policy with Online Planning
Harshit Sikchi, Wenxuan Zhou, David Held
Reinforcement learning (RL) in low-data and risk-sensitive domains requires performant and flexible deployment policies that can readily incorporate constraints during deployment.…
Imitative Planning using Conditional Normalizing Flow
Shubhankar Agarwal, Harshit Sikchi, Cole Gulino +2
A popular way to plan trajectories in dynamic urban scenarios for Autonomous Vehicles is to rely on explicitly specified and hand crafted cost functions, coupled with random sampli…