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Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Scaling model-based inverse reinforcement learning (IRL) to real robotic...
10/18/2020 ∙ by Neha Das, et al. ∙
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Residual Learning from Demonstration
Contacts and friction are inherent to nearly all robotic manipulation ta...
08/18/2020 ∙ by Todor Davchev, et al. ∙
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Learning with Modular Representations for Long-Term Multi-Agent Motion Predictions
Context plays a significant role in the generation of motion for dynamic...
11/29/2019 ∙ by Todor Davchev, et al. ∙
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Learning Modular Representations for Long-Term Multi-Agent Motion Predictions
Context plays a significant role in the generation of motion for dynamic...
11/29/2019 ∙ by Todor Davchev, et al. ∙
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Vid2Param: Online system identification from video for robotics applications
Robots performing tasks in dynamic environments would benefit greatly fr...
07/15/2019 ∙ by Martin Asenov, et al. ∙
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Towards Evaluating and Understanding Robust Optimisation under Transfer
This work evaluates the efficacy of adversarial robustness under transfe...
05/07/2019 ∙ by Todor Davchev, et al. ∙
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