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adroit_ext
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
bc
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
data_utils
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
residual
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
README.md
Release for Residual RL from demonstrations.
3 года назад
adroit_utils.py
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
env_wrappers.py
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
environment_loop.py
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
mime_acme.py
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
mime_utils.py
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
requirements.txt
Release for Residual RL from demonstrations.
3 года назад
run.sh
Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor". https://arxiv.org/abs/2312.07661
9 месяцев назад
README.md

Residual Reinforcement Learning from Demonstrations

https://arxiv.org/abs/2106.08050

Overview

Code release for:

Residual Reinforcement Learning from Demonstrations
Minttu Alakuijala1,2,3, Gabriel Dulac-Arnold1, Julien Mairal2, Jean Ponce3, and Cordelia Schmid1

1Google Research
2Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK
3Inria, Ecole Normale Supérieure, ENS, CNRS, PSL Research University

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