Task Relevant Adversarial Imitation Learning

May 28, 2026
Media Summary: Task-Relevant Adversarial Imitation Learning October 2019 DOI: 10.1109/Humanoids43949.2019.9034991 Conference: 2019 IEEE-RAS 19th International Conference on ... Demo of the CAT and DAugGI networks presented in the paper "

Task Relevant Adversarial Imitation Learning - Detailed Analysis & Overview

Task-Relevant Adversarial Imitation Learning October 2019 DOI: 10.1109/Humanoids43949.2019.9034991 Conference: 2019 IEEE-RAS 19th International Conference on ... Demo of the CAT and DAugGI networks presented in the paper " This shows the experts' (few) trajectories. Conclusion: GAIL is successful in imitating the expert. Lunar Lander optimal landing (average high reward greater than 250) This video presents our work Combating False Negatives in

In this paper, we utilize the current models of conditional variational autoencoders for the purpose of teaching a robot simple ...

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Task Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation Learning
Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation
CoRL 2020, Spotlight Talk 50: Task-Relevant Adversarial Imitation Learning
Enhanced View Planning for Robotic Harvesting: Tackling Occlusions with Imitation Learning
RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation
Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning
Demo of networks from Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Expert trajectories: Generative Adversarial Imitation Learning (GAIL)
Expert trajectories: Generative Adversarial Imitation Learning (GAIL)
Combating False Negatives in Adversarial Imitation Learning
Feedback-Driven Incremental Imitation Learning Using Sequential VAE

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Task Relevant Adversarial Imitation Learning

Task Relevant Adversarial Imitation Learning

See the paper for more details: https://arxiv.org/abs/1910.01077.

Task-Relevant Adversarial Imitation Learning

Task-Relevant Adversarial Imitation Learning

Task-Relevant Adversarial Imitation Learning

Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation

Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation

October 2019 DOI: 10.1109/Humanoids43949.2019.9034991 Conference: 2019 IEEE-RAS 19th International Conference on ...

CoRL 2020, Spotlight Talk 50: Task-Relevant Adversarial Imitation Learning

CoRL 2020, Spotlight Talk 50: Task-Relevant Adversarial Imitation Learning

"**

Enhanced View Planning for Robotic Harvesting: Tackling Occlusions with Imitation Learning

Enhanced View Planning for Robotic Harvesting: Tackling Occlusions with Imitation Learning

... simple efficient

RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation

RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation

https://ieeexplore.ieee.org/document/11511708.

Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning

Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning

Specifically, we utilize a Generative

Demo of networks from Adversarial Imitation Learning with Trajectorial Augmentation and Correction

Demo of networks from Adversarial Imitation Learning with Trajectorial Augmentation and Correction

Demo of the CAT and DAugGI networks presented in the paper "

Expert trajectories: Generative Adversarial Imitation Learning (GAIL)

Expert trajectories: Generative Adversarial Imitation Learning (GAIL)

This shows the experts' (few) trajectories. Conclusion: GAIL is successful in imitating the expert.

Expert trajectories: Generative Adversarial Imitation Learning (GAIL)

Expert trajectories: Generative Adversarial Imitation Learning (GAIL)

Lunar Lander optimal landing (average high reward greater than 250)

Combating False Negatives in Adversarial Imitation Learning

Combating False Negatives in Adversarial Imitation Learning

This video presents our work Combating False Negatives in

Feedback-Driven Incremental Imitation Learning Using Sequential VAE

Feedback-Driven Incremental Imitation Learning Using Sequential VAE

In this paper, we utilize the current models of conditional variational autoencoders for the purpose of teaching a robot simple ...

AugGAIL: Generative Adversarial Imitation Learning for Robotic Manipulation Tasks

AugGAIL: Generative Adversarial Imitation Learning for Robotic Manipulation Tasks

AugGAIL: Generative