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06/06/2022
Enhancing Safe Exploration Using Safety State Augmentation
Safe exploration is a challenging and important problem in model-free re...
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02/14/2022
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Satisfying safety constraints almost surely (or with probability one) ca...
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06/07/2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
We introduce a method based on deep metric learning to perform Bayesian ...
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12/15/2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Bayesian optimisation presents a sample-efficient methodology for global...
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12/07/2020
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...
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06/12/2020
SAMBA: Safe Model-Based Active Reinforcement Learning
In this paper, we propose SAMBA, a novel framework for safe reinforcemen...
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02/22/2020
Emergent Communication with World Models
We introduce Language World Models, a class of language-conditional gene...
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06/12/2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
Recent advances in Neural Variational Inference allowed for a renaissanc...
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02/28/2019
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents
Real-time bidding, as one of the most popular mechanisms for selling onl...
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04/23/2018