research
∙
03/26/2023
Inverse Reinforcement Learning without Reinforcement Learning
Inverse Reinforcement Learning (IRL) is a powerful set of techniques for...
share
research
∙
08/19/2022
Game-Theoretic Algorithms for Conditional Moment Matching
A variety of problems in econometrics and machine learning, including in...
research
∙
08/03/2022
Sequence Model Imitation Learning with Unobserved Contexts
We consider imitation learning problems where the expert has access to a...
research
∙
05/30/2022
Minimax Optimal Online Imitation Learning via Replay Estimation
Online imitation learning is the problem of how best to mimic expert dem...
research
∙
02/02/2022
Causal Imitation Learning under Temporally Correlated Noise
We develop algorithms for imitation learning from policy data that was c...
research
∙
10/05/2021
A Critique of Strictly Batch Imitation Learning
Recent work by Jarrett et al. attempts to frame the problem of offline i...
research
∙
03/04/2021
Of Moments and Matching: Trade-offs and Treatments in Imitation Learning
We provide a unifying view of a large family of previous imitation learn...
research
∙
09/22/2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Autonomous robots often encounter challenging situations where their con...
research
∙
01/04/2019
On the Utility of Model Learning in HRI
Fundamental to robotics is the debate between model-based and model-free...
research
∙
06/24/2018