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Marc Rigter
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RAMBO-RL: Robust adversarial model-based offline reinforcement learning
M Rigter, B Lacerda, N Hawes
Advances in Neural Information Processing Systems (NeurIPS), 2022
742022
Using energy requirements to compare the suitability of alternative methods for broadcast and site-specific weed control
GRY Coleman, A Stead, MP Rigter, Z Xu, D Johnson, GM Brooker, ...
Weed Technology, 2019
642019
Risk-Averse Bayes-Adaptive Reinforcement Learning
M Rigter, B Lacerda, N Hawes
Advances in Neural Information Processing Systems (NeurIPS), 2021
342021
Differential flatness transformations for aggressive quadrotor flight
B Morrell, M Rigter, G Merewether, R Reid, R Thakker, T Tzanetos, ...
IEEE International Conference on Robotics and Automation (ICRA), 2018
342018
A Framework for Learning from Demonstration with Minimal Human Effort
M Rigter, B Lacerda, N Hawes
IEEE Robotics and Automation Letters (RA-L), 2020
272020
Comparison of trajectory optimization algorithms for high-speed quadrotor flight near obstacles
B Morrell, R Thakker, G Merewether, R Reid, M Rigter, T Tzanetos, ...
IEEE Robotics and Automation Letters (RA-L), 2018
242018
Minimax regret optimisation for robust planning in uncertain markov decision processes
M Rigter, B Lacerda, N Hawes
AAAI Conference on Artificial Intelligence (AAAI), 2021
122021
Shared autonomy systems with stochastic operator models
C Costen, M Rigter, B Lacerda, N Hawes
International Joint Conference on Artificial Intelligence (IJCAI), 2022
112022
Planning for Risk-Aversion and Expected Value in MDPs
M Rigter, P Duckworth, B Lacerda, N Hawes
ICAPS International Conference on Automated Planning and Scheduling (ICAPS), 2022
9*2022
An autonomous quadrotor system for robust high-speed flight through cluttered environments without GPS
M Rigter, B Morrell, RG Reid, GB Merewether, T Tzanetos, V Rajur, ...
International Conference on Intelligent Robots and Systems (IROS), 0
8*
Risk-constrained planning for multi-agent systems with shared resources
AL Gautier, M Rigter, B Lacerda, N Hawes, M Wooldridge
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023
62023
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
M Rigter, B Lacerda, N Hawes
Advances in Neural Information Processing Systems (NeurIPS), 2023
52023
Robot path planning for multiple target regions
S Ishida, M Rigter, N Hawes
European Conference on Mobile Robots (ECMR), 2019
52019
Planning with hidden parameter polynomial MDPs
C Costen, M Rigter, B Lacerda, N Hawes
AAAI Conference on Artificial Intelligence (AAAI), 2023
42023
Reward-Free Curricula for Training Robust World Models
M Rigter, M Jiang, I Posner
International Conference on Learning Representations (ICLR), 2024
32024
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
M Rigter, D Dervovic, P Hassanzadeh, J Long, P Zehtabi, D Magazzeni
AAAI Conference on Artificial Intelligence (AAAI), 2022
32022
World models via policy-guided trajectory diffusion
M Rigter, J Yamada, I Posner
Transactions on Machine Learning Research (TMLR), 2023
12023
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
J Yamada, M Rigter, J Collins, I Posner
IEEE International Conference on Robotics and Automation (ICRA), 2024
2024
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning
M Rigter
PhD Thesis, University of Oxford, 2023
2023
Mixed Observability MDPs for Shared Autonomy with Uncertain Human Behaviour
C Costen, M Rigter, B Lacerda, N Hawes
IJCAI Workshop on Robust and Reliable Autonomy in the Wild, 2021
2021
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Articles 1–20