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06/15/2023
A Framework for Learning from Demonstration with Minimal Human Effort
We consider robot learning in the context of shared autonomy, where cont...
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06/15/2023
Reward-Free Curricula for Training Robust World Models
There has been a recent surge of interest in developing generally-capabl...
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04/02/2023
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning
Many sequential decision-making problems that are currently automated, s...
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11/30/2022
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
Offline reinforcement learning (RL) is suitable for safety-critical doma...
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04/26/2022
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
Offline reinforcement learning (RL) aims to find near-optimal policies f...
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03/14/2022
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
We consider a novel queuing problem where the decision-maker must choose...
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10/25/2021
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs
Planning in Markov decision processes (MDPs) typically optimises the exp...
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02/10/2021
Risk-Averse Bayes-Adaptive Reinforcement Learning
In this work, we address risk-averse Bayesadaptive reinforcement learnin...
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12/08/2020