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Ian Davies

2 accepted papers

2025

Wasserstein Policy Optimization

ICML 2025poster

We introduce Wasserstein Policy Optimization (WPO), an actor-critic algorithm for reinforcement learning in continuous action spaces. WPO can be derived as an approximation to Wasserstein gradient flow over the space of all policies projected into a finite-dimensional parameter space (e.g., the weig…

Cited by 0SourcePDFScholar
2021

Kernel Identification Through Transformers

NeurIPS 2021poster

Kernel selection plays a central role in determining the performance of Gaussian Process (GP) models, as the chosen kernel determines both the inductive biases and prior support of functions under the GP prior. This work addresses the challenge of constructing custom kernel functions for high-dimens…