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07/21/2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Impressive results in natural language processing (NLP) based on the Tra...
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04/26/2022
BATS: Best Action Trajectory Stitching
The problem of offline reinforcement learning focuses on learning a good...
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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...
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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...
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09/29/2017