Marc Rigter
8 papers · 2021–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Keywords
markov decision process
(4)
dynamic programming
(2)
minimax regret
(2)
offline reinforcement learning
(1)
bayesian inference
(1)
curriculum learning
(1)
bayesian learning
(1)
epistemic uncertainty
(1)
adversarial training
(1)
human-robot interaction
(1)
domain randomization
(1)
model-based reinforcement learning
(1)
bellman equation
(1)
uncertainty quantification
(1)
robust planning
(1)
belief distribution
(1)
partially observable
(1)
bayesian optimization
(1)
monte carlo tree search
(1)
state abstraction
(1)
Papers
Reward-Free Curricula for Training Robust World Models
ICLR 2024
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
NeurIPS 2023
Planning with Hidden Parameter Polynomial MDPs
AAAI 2023
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
AAAI 2022
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
NeurIPS 2022
Shared Autonomy Systems with Stochastic Operator Models
IJCAI 2022
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
AAAI 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning
NeurIPS 2021