Publications

2024

  1. ICLR
    Reward-free curricula for training robust world models
    Marc Rigter ,  Minqi Jiang ,  and  Ingmar Posner
    International Conference on Learning Representations, 2024
  2. TMLR
    World models via policy-guided trajectory diffusion
    Marc Rigter ,  Jun Yamada ,  and  Ingmar Posner
    Transactions on Machine Learning Research, 2024
  3. 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

2023

  1. 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
  2. AAAI
    Planning with hidden parameter polynomial MDPs
    Clarissa Costen ,  Marc Rigter ,  Bruno Lacerda , and 1 more author
    AAAI Conference on Artificial Intelligence, 2023
  3. 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
  4. Thesis
    Risk-sensitive and robust model-based reinforcement learning and planning
    Marc Rigter
    2023

2022

  1. NeurIPS
    RAMBO-RL: Robust adversarial model-based offline reinforcement learning
    Marc Rigter ,  Bruno Lacerda ,  and  Nick Hawes
    Advances in Neural Information Processing Systems, 2022
  2. 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
  3. 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
  4. 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

2021

  1. NeurIPS
    Risk-averse Bayes-adaptive reinforcement learning
    Marc Rigter ,  Bruno Lacerda ,  and  Nick Hawes
    Advances in Neural Information Processing Systems, 2021
  2. 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

2020

  1. RAL
    A framework for learning from demonstration with minimal human effort
    Marc Rigter ,  Bruno Lacerda ,  and  Nick Hawes
    IEEE Robotics and Automation Letters, 2020

2019

  1. 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
  2. ECMR
    Robot path planning for multiple target regions
    Shu Ishida ,  Marc Rigter ,  and  Nick Hawes
    European Conference on Mobile Robots, 2019
  3. 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

2018

  1. 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
  2. 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