Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"

Last update: Mar 19, 2022

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Deep Learning COIL

Overview

README

The code is based on the ILswiss.

To run the code, use

python run_experiment.py --nosrun -e <your YAML file> -g <gpu id>

Generally, run_experiment.py loads the YAML file, creating multiple processes, each of which runs the script assigned in the YAML file.

The script of COIL is run_scripts/coil_script.py. Dataset settings are in demos_listing.yaml. The core algorithm is in rlkit/torch/coil/coil.py. New algorithms should also be put under similar directories. A trajectory replay buffer and the trajectory picking algorithm is in rlkit/data_management/episodic_replay_buffer_coil.py.

Owner

ApexRL

RL group @ ApexLab in SJTU. Focusing on reinforcement learning, multi-agent learning and related applications.

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Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"

Related tags

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ApexRL

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Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"

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README

Owner

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