Rigter, Marc

9 publications

ICLR 2024 Reward-Free Curricula for Training Robust World Models Marc Rigter, Minqi Jiang, Ingmar Posner

TMLR 2024 World Models via Policy-Guided Trajectory Diffusion Marc Rigter, Jun Yamada, Ingmar Posner

NeurIPS 2023 One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning Marc Rigter, Bruno Lacerda, Nick Hawes

AAAI 2023 Planning with Hidden Parameter Polynomial MDPs Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes

AAAI 2022 Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni

NeurIPS 2022 RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning Marc Rigter, Bruno Lacerda, Nick Hawes

IJCAI 2022 Shared Autonomy Systems with Stochastic Operator Models Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes

AAAI 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes Marc Rigter, Bruno Lacerda, Nick Hawes

NeurIPS 2021 Risk-Averse Bayes-Adaptive Reinforcement Learning Marc Rigter, Bruno Lacerda, Nick Hawes