Marc Rigter

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Markov Decision Processes

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Marc Rigter, Minqi Jiang, Ingmar Posner
Reward-Free Curricula for Training Robust World Models. ICLR (2024)
Marc Rigter, Jun Yamada, Ingmar Posner
World Models via Policy-Guided Trajectory Diffusion. Trans. Mach. Learn. Res. 2024 (2024)
Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. ICRA (2024)
Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. CoRR (2023)
Marc Rigter, Jun Yamada, Ingmar Posner
World Models via Policy-Guided Trajectory Diffusion. CoRR (2023)
Marc Rigter
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning. CoRR (2023)
Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS (2023)
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Planning with Hidden Parameter Polynomial MDPs. AAAI (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS (2023)
Marc Rigter, Minqi Jiang, Ingmar Posner
Reward-Free Curricula for Training Robust World Models. CoRR (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR (2022)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS (2022)
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. AAAI (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR (2022)
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Shared Autonomy Systems with Stochastic Operator Models. IJCAI (2022)
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. CoRR (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI (2021)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR (2020)
Marc Rigter, Bruno Lacerda, Nick Hawes
A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. 5 (2) (2020)
Shu Ishida, Marc Rigter, Nick Hawes
Robot Path Planning for Multiple Target Regions. ECMR (2019)
Marc Rigter, Benjamin Morrell, Robert G. Reid, Gene B. Merewether, Theodore Tzanetos, Vinay Rajur, K. C. Wong, Larry H. Matthies
An Autonomous Quadrotor System for Robust High-Speed Flight Through Cluttered Environments Without GPS. IROS (2019)
Benjamin Morrell, Marc Rigter, Gene Merewether, Robert Reid, Rohan Thakker, Theodore Tzanetos, Vinay Rajur, Gregory E. Chamitoff
Differential Flatness Transformations for Aggressive Quadrotor Flight. ICRA (2018)
Benjamin Morrell, Rohan Thakker, Gene Merewether, Robert Reid, Marc Rigter, Theodore Tzanetos, Gregory E. Chamitoff
Comparison of Trajectory Optimization Algorithms for High-Speed Quadrotor Flight Near Obstacles. IEEE Robotics Autom. Lett. 3 (4) (2018)