Search Results for author: Divyansh Garg

Found 9 papers, 7 papers with code

Extreme Q-Learning: MaxEnt RL without Entropy

3 code implementations5 Jan 2023 Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon

Using EVT, we derive our \emph{Extreme Q-Learning} framework and consequently online and, for the first time, offline MaxEnt Q-learning algorithms, that do not explicitly require access to a policy or its entropy.

D4RL Offline RL +2

LISA: Learning Interpretable Skill Abstractions from Language

1 code implementation28 Feb 2022 Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon

Learning policies that effectively utilize language instructions in complex, multi-task environments is an important problem in sequential decision-making.

Imitation Learning Quantization

IQ-Learn: Inverse soft-Q Learning for Imitation

5 code implementations NeurIPS 2021 Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Matthieu Geist, Stefano Ermon

In many sequential decision-making problems (e. g., robotics control, game playing, sequential prediction), human or expert data is available containing useful information about the task.

Atari Games Continuous Control +3

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