RAMBO-RL: Robust adversarial model-based offline reinforcement learning M Rigter, B Lacerda, N Hawes Advances in Neural Information Processing Systems (NeurIPS), 2022 | 74 | 2022 |
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 | 64 | 2019 |
Risk-Averse Bayes-Adaptive Reinforcement Learning M Rigter, B Lacerda, N Hawes Advances in Neural Information Processing Systems (NeurIPS), 2021 | 34 | 2021 |
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 | 34 | 2018 |
A Framework for Learning from Demonstration with Minimal Human Effort M Rigter, B Lacerda, N Hawes IEEE Robotics and Automation Letters (RA-L), 2020 | 27 | 2020 |
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 | 24 | 2018 |
Minimax regret optimisation for robust planning in uncertain markov decision processes M Rigter, B Lacerda, N Hawes AAAI Conference on Artificial Intelligence (AAAI), 2021 | 12 | 2021 |
Shared autonomy systems with stochastic operator models C Costen, M Rigter, B Lacerda, N Hawes International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 11 | 2022 |
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 | 6 | 2023 |
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 | 5 | 2023 |
Robot path planning for multiple target regions S Ishida, M Rigter, N Hawes European Conference on Mobile Robots (ECMR), 2019 | 5 | 2019 |
Planning with hidden parameter polynomial MDPs C Costen, M Rigter, B Lacerda, N Hawes AAAI Conference on Artificial Intelligence (AAAI), 2023 | 4 | 2023 |
Reward-Free Curricula for Training Robust World Models M Rigter, M Jiang, I Posner International Conference on Learning Representations (ICLR), 2024 | 3 | 2024 |
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 | 3 | 2022 |
World models via policy-guided trajectory diffusion M Rigter, J Yamada, I Posner Transactions on Machine Learning Research (TMLR), 2023 | 1 | 2023 |
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 |