Follow
Marc Rigter
Marc Rigter
Microsoft Research
Verified email at eng.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
RAMBO-RL: Robust adversarial model-based offline reinforcement learning
M Rigter, B Lacerda, N Hawes
Advances in Neural Information Processing Systems (NeurIPS), 2022
962022
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
662019
Risk-Averse Bayes-Adaptive Reinforcement Learning
M Rigter, B Lacerda, N Hawes
Advances in Neural Information Processing Systems (NeurIPS), 2021
412021
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
362018
A Framework for Learning from Demonstration with Minimal Human Effort
M Rigter, B Lacerda, N Hawes
IEEE Robotics and Automation Letters (RA-L), 2020
302020
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
252018
Minimax regret optimisation for robust planning in uncertain markov decision processes
M Rigter, B Lacerda, N Hawes
AAAI Conference on Artificial Intelligence (AAAI), 2021
142021
Shared autonomy systems with stochastic operator models
C Costen, M Rigter, B Lacerda, N Hawes
International Joint Conference on Artificial Intelligence (IJCAI), 2022
122022
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
102022
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
72023
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
72023
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
7*
Planning with hidden parameter polynomial MDPs
C Costen, M Rigter, B Lacerda, N Hawes
AAAI Conference on Artificial Intelligence (AAAI), 2023
52023
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
52022
Robot path planning for multiple target regions
S Ishida, M Rigter, N Hawes
European Conference on Mobile Robots (ECMR), 2019
52019
The Essential Role of Causality in Foundation World Models for Embodied AI
T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, M Rigter, ...
arXiv preprint arXiv:2402.06665, 2024
42024
World models via policy-guided trajectory diffusion
M Rigter, J Yamada, I Posner
Transactions on Machine Learning Research (TMLR), 2024
32024
Reward-Free Curricula for Training Robust World Models
M Rigter, M Jiang, I Posner
International Conference on Learning Representations (ICLR), 2024
22024
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
The system can't perform the operation now. Try again later.
Articles 1–20