research
∙
07/21/2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Impressive results in natural language processing (NLP) based on the Tra...
share
research
∙
04/26/2022
BATS: Best Action Trajectory Stitching
The problem of offline reinforcement learning focuses on learning a good...
research
∙
03/22/2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Recently, autonomous driving has made substantial progress in addressing...
research
∙
10/16/2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
A general-purpose intelligent robot must be able to learn autonomously a...
research
∙
09/29/2017
