2024 ICLR Reward-free curricula for training robust world models Marc Rigter , Minqi Jiang , and Ingmar Posner International Conference on Learning Representations, 2024 Bib PDF Code @article{rigter2024reward, title = {Reward-free curricula for training robust world models}, author = {Rigter, Marc and Jiang, Minqi and Posner, Ingmar}, journal = {International Conference on Learning Representations}, year = {2024}, } TMLR World models via policy-guided trajectory diffusion Marc Rigter , Jun Yamada , and Ingmar Posner Transactions on Machine Learning Research, 2024 Bib PDF Code @article{rigter2023world, title = {World models via policy-guided trajectory diffusion}, author = {Rigter, Marc and Yamada, Jun and Posner, Ingmar}, journal = {Transactions on Machine Learning Research}, year = {2024}, } ICRA TWIST: Teacher-student world model distillation for efficient sim-to-real transfer Jun Yamada , Marc Rigter , Jack Collins , and 1 more author International Conference on Robotics and Automation, 2024 Bib PDF @article{yamada2023twist, title = {TWIST: Teacher-student world model distillation for efficient sim-to-real transfer}, author = {Yamada, Jun and Rigter, Marc and Collins, Jack and Posner, Ingmar}, journal = {International Conference on Robotics and Automation}, year = {2024}, } Preprint The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta , Wenbo Gong , Chao Ma , and 9 more authors arXiv preprint arXiv:2402.06665, 2024 Bib PDF @article{gupta2024essential, title = {The Essential Role of Causality in Foundation World Models for Embodied AI}, author = {Gupta, Tarun and Gong, Wenbo and Ma, Chao and Pawlowski, Nick and Hilmkil, Agrin and Scetbon, Meyer and Rigter, Marc and Famoti, Ade and Llorens, Ashley Juan and Gao, Jianfeng and Bauer, Stefan and others}, journal = {arXiv preprint arXiv:2402.06665}, year = {2024}, } 2023 NeurIPS One risk to rule them all: A risk-sensitive perspective on model-based offline reinforcement learning Marc Rigter , Bruno Lacerda , and Nick Hawes Advances in Neural Information Processing Systems, 2023 Bib PDF Code @article{rigter2023one, title = {One risk to rule them all: {A} risk-sensitive perspective on model-based offline reinforcement learning}, author = {Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, journal = {Advances in Neural Information Processing Systems}, year = {2023}, } AAAI Planning with hidden parameter polynomial MDPs Clarissa Costen , Marc Rigter , Bruno Lacerda , and 1 more author AAAI Conference on Artificial Intelligence, 2023 Bib PDF @article{costen2023planning, title = {Planning with hidden parameter polynomial MDPs}, author = {Costen, Clarissa and Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, journal = {AAAI Conference on Artificial Intelligence}, year = {2023}, } AAMAS Risk-constrained planning for multi-agent systems with shared resources AL Gautier , Marc Rigter , Bruno Lacerda , and 2 more authors International Conference on Autonomous Agents and Multiagent Systems, 2023 Bib PDF @article{gautier2023risk, title = {Risk-constrained planning for multi-agent systems with shared resources}, author = {Gautier, AL and Rigter, Marc and Lacerda, Bruno and Hawes, Nick and Wooldridge, Michael}, year = {2023}, journal = {International Conference on Autonomous Agents and Multiagent Systems}, } Thesis Risk-sensitive and robust model-based reinforcement learning and planning Marc Rigter 2023 Bib PDF @phdthesis{rigter2023thesis, title = {Risk-sensitive and robust model-based reinforcement learning and planning}, author = {Rigter, Marc}, year = {2023}, school = {University of Oxford}, type = {PhD thesis}, } 2022 NeurIPS RAMBO-RL: Robust adversarial model-based offline reinforcement learning Marc Rigter , Bruno Lacerda , and Nick Hawes Advances in Neural Information Processing Systems, 2022 Bib PDF Code @article{rigter2022rambo, title = {{RAMBO-RL}: Robust adversarial model-based offline reinforcement learning}, author = {Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, journal = {Advances in Neural Information Processing Systems}, year = {2022}, } AAAI Optimal admission control for multiclass queues with time-varying arrival rates via state abstraction Marc Rigter , Danial Dervovic , Parisa Hassanzadeh , and 3 more authors AAAI Conference on Artificial Intelligence, 2022 Bib PDF @article{rigter2022optimal, title = {Optimal admission control for multiclass queues with time-varying arrival rates via state abstraction}, author = {Rigter, Marc and Dervovic, Danial and Hassanzadeh, Parisa and Long, Jason and Zehtabi, Parisa and Magazzeni, Daniele}, journal = {AAAI Conference on Artificial Intelligence}, year = {2022}, } IJCAI Shared autonomy systems with stochastic operator models Clarissa Costen , Marc Rigter , Bruno Lacerda , and 1 more author International Joint Conference on Artificial Intelligence, 2022 Bib PDF @article{costen2022shared, title = {Shared autonomy systems with stochastic operator models}, author = {Costen, Clarissa and Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, year = {2022}, journal = {International Joint Conference on Artificial Intelligence}, } ICAPS Planning for risk-aversion and expected value in MDPs Marc Rigter , Paul Duckworth , Bruno Lacerda , and 1 more author International Conference on Automated Planning and Scheduling, 2022 Bib PDF Code @article{rigter2022planning, title = {Planning for risk-aversion and expected value in MDPs}, author = {Rigter, Marc and Duckworth, Paul and Lacerda, Bruno and Hawes, Nick}, journal = {International Conference on Automated Planning and Scheduling}, year = {2022}, } 2021 NeurIPS Risk-averse Bayes-adaptive reinforcement learning Marc Rigter , Bruno Lacerda , and Nick Hawes Advances in Neural Information Processing Systems, 2021 Bib PDF @article{rigter2021risk, title = {Risk-averse {B}ayes-adaptive reinforcement learning}, author = {Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, journal = {Advances in Neural Information Processing Systems}, year = {2021}, } AAAI Minimax regret optimisation for robust planning in uncertain Markov decision processes Marc Rigter , Bruno Lacerda , and Nick Hawes AAAI Conference on Artificial Intelligence, 2021 Bib PDF @article{rigter2021minimax, title = {Minimax regret optimisation for robust planning in uncertain Markov decision processes}, author = {Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, journal = {AAAI Conference on Artificial Intelligence}, year = {2021}, } 2020 RAL A framework for learning from demonstration with minimal human effort Marc Rigter , Bruno Lacerda , and Nick Hawes IEEE Robotics and Automation Letters, 2020 Bib PDF @article{rigter2020framework, title = {A framework for learning from demonstration with minimal human effort}, author = {Rigter, Marc and Lacerda, Bruno and Hawes, Nick}, journal = {IEEE Robotics and Automation Letters}, year = {2020}, } 2019 IROS An autonomous quadrotor system for robust high-speed flight through cluttered environments without GPS Marc Rigter , Benjamin Morrell , Robert G Reid , and 5 more authors International Conference on Intelligent Robots and Systems, 2019 Bib PDF @article{rigter2019autonomous, title = {An autonomous quadrotor system for robust high-speed flight through cluttered environments without GPS}, author = {Rigter, Marc and Morrell, Benjamin and Reid, Robert G and Merewether, Gene B and Tzanetos, Theodore and Rajur, Vinay and Wong, KC and Matthies, Larry H}, journal = {International Conference on Intelligent Robots and Systems}, year = {2019}, } ECMR Robot path planning for multiple target regions Shu Ishida , Marc Rigter , and Nick Hawes European Conference on Mobile Robots, 2019 Bib PDF @article{ishida2019robot, title = {Robot path planning for multiple target regions}, author = {Ishida, Shu and Rigter, Marc and Hawes, Nick}, journal = {European Conference on Mobile Robots}, year = {2019}, } Review Using energy requirements to compare the suitability of alternative methods for broadcast and site-specific weed control Guy Coleman , Amanda Stead , Marc Rigter , and 5 more authors Weed Technology, 2019 Bib @article{coleman2019using, title = {Using energy requirements to compare the suitability of alternative methods for broadcast and site-specific weed control}, author = {Coleman, Guy and Stead, Amanda and Rigter, Marc and Xu, Zhe and Johnson, David and Brooker, Graham M and Sukkarieh, Salah and Walsh, Michael}, journal = {Weed Technology}, year = {2019}, } 2018 RAL Comparison of trajectory optimization algorithms for high-speed quadrotor flight near obstacles Benjamin Morrell , Rohan Thakker , Gene Merewether , and 4 more authors IEEE Robotics and Automation Letters, 2018 Bib PDF @article{morrell2018comparison, title = {Comparison of trajectory optimization algorithms for high-speed quadrotor flight near obstacles}, author = {Morrell, Benjamin and Thakker, Rohan and Merewether, Gene and Reid, Robert and Rigter, Marc and Tzanetos, Theodore and Chamitoff, Gregory}, journal = {IEEE Robotics and Automation Letters}, year = {2018}, } ICRA Differential flatness transformations for aggressive quadrotor flight Benjamin Morrell , Marc Rigter , Gene Merewether , and 5 more authors International Conference on Robotics and Automation, 2018 Bib PDF @article{morrell2018differential, title = {Differential flatness transformations for aggressive quadrotor flight}, author = {Morrell, Benjamin and Rigter, Marc and Merewether, Gene and Reid, Robert and Thakker, Rohan and Tzanetos, Theodore and Rajur, Vinay and Chamitoff, Gregory}, journal = {International Conference on Robotics and Automation}, year = {2018}, }