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2020 – today
- 2024
[j3]Marc Rigter, Jun Yamada, Ingmar Posner:
World Models via Policy-Guided Trajectory Diffusion. Trans. Mach. Learn. Res. 2024 (2024)- [c14]Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. ICLR 2024 - [c13]Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner:
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. ICRA 2024: 9190-9196 - [i12]Marc Rigter, Tarun Gupta, Agrin Hilmkil, Chao Ma:
AVID: Adapting Video Diffusion Models to World Models. CoRR abs/2410.12822 (2024) - 2023
- [c12]Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Planning with Hidden Parameter Polynomial MDPs. AAAI 2023: 11963-11971 - [c11]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 - [c10]Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS 2023 - [i11]Marc Rigter:
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning. CoRR abs/2304.00573 (2023) - [i10]Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. CoRR abs/2306.09205 (2023) - [i9]Marc Rigter, Bruno Lacerda, Nick Hawes:
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR abs/2306.09211 (2023) - [i8]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) - [i7]Marc Rigter, Jun Yamada, Ingmar Posner:
World Models via Policy-Guided Trajectory Diffusion. CoRR abs/2312.08533 (2023) - 2022
- [c9]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 - [c8]Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS 2022: 307-315 - [c7]Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Shared Autonomy Systems with Stochastic Operator Models. IJCAI 2022: 4614-4620 - [c6]Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS 2022 - [i6]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) - [i5]Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR abs/2204.12581 (2022) - [i4]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
- [c5]Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI 2021: 11930-11938 - [c4]Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS 2021: 1142-1154 - [i3]Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR abs/2102.05762 (2021) - [i2]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
- [j2]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) - [i1]Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR abs/2012.04626 (2020)
2010 – 2019
- 2019
- [c3]Shu Ishida, Marc Rigter, Nick Hawes:
Robot Path Planning for Multiple Target Regions. ECMR 2019: 1-6 - [c2]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
- [j1]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) - [c1]Benjamin Morrell, Marc Rigter, Gene Merewether, Robert Reid, Rohan Thakker, Theodore Tzanetos, Vinay Rajur, Gregory E. Chamitoff:
Differential Flatness Transformations for Aggressive Quadrotor Flight. ICRA 2018: 1-7
Coauthor Index
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