Exploring Combating False Negatives In Adversarial Imitation Learning
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- Generative Adversarial Imitation Learning (GAIL)
- Yoshihisa Tsurumine, Takamitsu Matsubara: Goal-Aware Generative
- my limited understanding of it, hope I didn't get too many
- Junki Matsuoka, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara, Takeshi Shimmura, and Sadao Kawamura 2020 ...
- Lunar Lander optimal landing (average high reward greater than 250)
In-Depth Information on Combating False Negatives In Adversarial Imitation Learning
This video presents our work Presented by Arec Jamgochian at the International Conference on Robotics and Automation in 2023. Paper: ... Task-Relevant Adversarial Imitation Learning See the paper for more details: https://arxiv.org/abs/1910.01077.
Demo of the CAT and DAugGI networks presented in the paper "
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