Exploring Expert Trajectories Generative Adversarial Imitation Learning Gail
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- Demo of the CAT and DAugGI networks presented in the paper "
- In the first part of the talk, I will introduce Multi-agent
- In this eighth lecture, we look at
- Yoshihisa Tsurumine, Takamitsu Matsubara: Goal-Aware
- "**Augmenting
In-Depth Information on Expert Trajectories Generative Adversarial Imitation Learning Gail
This shows the Lunar Lander optimal landing (average high reward greater than 250) Generative Adversarial Imitation Learning (GAIL) This shows performance of
October 2019 DOI: 10.1109/Humanoids43949.2019.9034991 Conference: 2019 IEEE-RAS 19th International Conference on ...
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