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Publication search results
found 32 matches
- 2024
- Marc Rigter, Jun Yamada, Ingmar Posner:
World Models via Policy-Guided Trajectory Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. ICLR 2024 - Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner:
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. ICRA 2024: 9190-9196 - Marc Rigter, Tarun Gupta, Agrin Hilmkil, Chao Ma:
AVID: Adapting Video Diffusion Models to World Models. CoRR abs/2410.12822 (2024) - 2023
- Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Planning with Hidden Parameter Polynomial MDPs. AAAI 2023: 11963-11971 - Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS 2023: 113-121 - Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS 2023 - Marc Rigter:
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning. CoRR abs/2304.00573 (2023) - Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. CoRR abs/2306.09205 (2023) - Marc Rigter, Bruno Lacerda, Nick Hawes:
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR abs/2306.09211 (2023) - Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner:
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. CoRR abs/2311.03622 (2023) - Marc Rigter, Jun Yamada, Ingmar Posner:
World Models via Policy-Guided Trajectory Diffusion. CoRR abs/2312.08533 (2023) - 2022
- Iacopo Vagliano, Martijn C. Schut, Ameen Abu-Hanna, Dave A. Dongelmans, Dylan W. De Lange, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils
, Tim Frenzel
, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, Attila Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Merijn C. Reuland, M. Sesmu Arbous
, Lucas M. Fleuren, Tariq A. Dam
, Patrick J. Thoral, Robbert C. A. Lalisang, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers, Nicolette F. de Keizer:
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records. Int. J. Medical Informatics 167: 104863 (2022) - Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni:
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. AAAI 2022: 9918-9925 - Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS 2022: 307-315 - Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Shared Autonomy Systems with Stochastic Operator Models. IJCAI 2022: 4614-4620 - Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS 2022 - Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni:
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. CoRR abs/2203.08019 (2022) - Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR abs/2204.12581 (2022) - Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR abs/2212.00124 (2022) - 2021
- Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI 2021: 11930-11938 - Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS 2021: 1142-1154 - Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR abs/2102.05762 (2021) - Adam Izdebski, Patrick J. Thoral, Robbert C. A. Lalisang, Dean M. McHugh, Robert Entjes, Nardo J. M. van der Meer, Dave A. Dongelmans, Age D. Boelens, Sander Rigter, Stefaan H. A. Hendriks, Remko de Jong, Marlijn J. A. Kamps, Marco A. A. Peters, A. Karakus, Diederik Gommers, Dharmanand Ramnarain, Evert-Jan Wils, Sefanja Achterberg, Ralph Nowitzky, Walter van den Tempel, Cornelis P. C. de Jager, Fleur G. C. A. Nooteboom, Evelien Oostdijk, Peter Koetsier, Alexander D. Cornet, Auke C. Reidinga, Wouter de Ruijter, Rob J. Bosman, Tim Frenzel, Louise C. Urlings-Strop, Paul de Jong, Ellen G. M. Smit, Olaf L. Cremer, Frits H. M. van Osch, Harald J. Faber, Judith Lens, Gert B. Brunnekreef, Barbara Festen-Spanjer, Tom Dormans, Bram Simons, A. A. Rijkeboer, Annemieke Dijkstra, M. Sesmu Arbous, Marcel Aries, Menno Beukema, Rutger van Raalte, Martijn van Tellingen, Niels C. Gritters van den Oever, Paul W. G. Elbers, Giovanni Cinà:
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients. CoRR abs/2109.06707 (2021) - Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR abs/2110.12746 (2021) - 2020
- Marc Rigter
, Bruno Lacerda
, Nick Hawes
:
A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. 5(2): 2023-2030 (2020) - Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR abs/2012.04626 (2020) - 2019
- Shu Ishida, Marc Rigter, Nick Hawes:
Robot Path Planning for Multiple Target Regions. ECMR 2019: 1-6 - Marc Rigter, Benjamin Morrell, Robert G. Reid
, Gene B. Merewether, Theodore Tzanetos, Vinay Rajur, K. C. Wong, Larry H. Matthies:
An Autonomous Quadrotor System for Robust High-Speed Flight Through Cluttered Environments Without GPS. IROS 2019: 5227-5234 - 2018
- Benjamin Morrell
, Rohan Thakker, Gene Merewether, Robert Reid
, Marc Rigter, Theodore Tzanetos, Gregory E. Chamitoff:
Comparison of Trajectory Optimization Algorithms for High-Speed Quadrotor Flight Near Obstacles. IEEE Robotics Autom. Lett. 3(4): 4399-4406 (2018)
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