Exploring Task Relevant Adversarial Imitation Learning

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  • October 2019 DOI: 10.1109/Humanoids43949.2019.9034991 Conference: 2019 IEEE-RAS 19th International Conference on ...
  • In the first part of the talk, I will introduce Multi-agent Generative
  • This shows performance of GAIL. Conclusion: GAIL is successful in imitating the expert.
  • This shows the experts' (few) trajectories. Conclusion: GAIL is successful in imitating the expert.
  • This video presents our work Combating False Negatives in

In-Depth Information on Task Relevant Adversarial Imitation Learning

See the paper for more details: https://arxiv.org/abs/1910.01077. Task-Relevant Adversarial Imitation Learning "** Learning

All right before wrapping up let me show you some examples of the successes of

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