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03/03/2023
BO-Muse: A human expert and AI teaming framework for accelerated experimental design
In this paper we introduce BO-Muse, a new approach to human-AI teaming f...
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04/20/2022
Memory-Constrained Policy Optimization
We introduce a new constrained optimization method for policy gradient r...
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12/03/2021
Episodic Policy Gradient Training
We introduce a novel training procedure for policy gradient methods wher...
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11/03/2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Episodic control enables sample efficiency in reinforcement learning by ...
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08/20/2021
Plug and Play, Model-Based Reinforcement Learning
Sample-efficient generalisation of reinforcement learning approaches hav...
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07/18/2021
A New Representation of Successor Features for Transfer across Dissimilar Environments
Transfer in reinforcement learning is usually achieved through generalis...
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09/09/2019
Cost-aware Multi-objective Bayesian optimisation
The notion of expense in Bayesian optimisation generally refers to the u...
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02/21/2019
Stable Bayesian Optimisation via Direct Stability Quantification
In this paper we consider the problem of finding stable maxima of expens...
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02/12/2019
