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Nick Hawes

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Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization

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Apr 03, 2024
Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon

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CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning

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Feb 06, 2024
Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes

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JaxMARL: Multi-Agent RL Environments in JAX

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Nov 20, 2023
Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Gardar Ingvarsson, Timon Willi, Akbir Khan, Christian Schroeder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktaschel, Chris Lu, Jakob Nicolaus Foerster

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Effects of Explanation Specificity on Passengers in Autonomous Driving

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Jul 02, 2023
Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze

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A Framework for Learning from Demonstration with Minimal Human Effort

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Jun 15, 2023
Marc Rigter, Bruno Lacerda, Nick Hawes

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DITTO: Offline Imitation Learning with World Models

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Feb 06, 2023
Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner

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One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning

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Nov 30, 2022
Marc Rigter, Bruno Lacerda, Nick Hawes

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VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior

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Oct 08, 2022
Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon

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Unbiased Active Inference for Classical Control

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Jul 27, 2022
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Nick Hawes

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