Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)

Related tags

Deep Learning reinforcement-learning deep-learning pytorch imitation-learning
Overview

This repo contains code for our paper State-only Imitation with Transition Dynamics Mismatch published at ICLR 2020.

The code heavily uses the RL machinery from this awesome repository with RL algorithms implemented in PyTorch. We also use some functionality from OpenAI baselines. The code was tested with the following packages:

  • python 3.6.6
  • pytorch 0.4.1
  • gym 0.10.8

Running command

To run MuJoCo experiments, use the command below. Update the path to the directory with the expert demonstrations. The demonstrations used in our experiments can be downloaded from this Google drive link. Edit default_config.yaml to change the hyperparameters.

python main.py --env-name "Hopper-v2" --config-file "default_config.yaml" --experts-dir <add-path-here> --seed=$RANDOM

Credits

  1. ikostrikov/pytorch-a2c-ppo-acktr-gail
  2. OpenAI baselines
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Comments
  • Unable to access the provided Google Drive link without permission

    Unable to access the provided Google Drive link without permission

    As the title says, I need to obtain permission when accessing the google drive link used to download expert trjectory, which is the data necessary to run the code. How can I obtain the permission or get the expert trjectory data through my own training? Thanks!

    opened by yachenkang 4
Owner
Ph.D. student at UIUC.
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