Open-source reinforcement learning (RL) environments have played a cruci...
Meta-gradient Reinforcement Learning (RL) allows agents to self-tune the...
Combinatorial optimisation problems framed as mixed integer linear progr...
From logistics to the natural sciences, combinatorial optimisation on gr...
Self-tuning algorithms that adapt the learning process online encourage ...
Breakthrough advances in reinforcement learning (RL) research have led t...
The SARS-CoV-2 pandemic has created a global race for a cure. One approa...
Offline Reinforcement Learning (RL) aims to turn large datasets into pow...
Multi-agent reinforcement learning has recently shown great promise as a...
We propose a novel solution to challenging sparse-reward, continuous con...
We propose a novel reinforcement learning algorithm, AlphaNPI, that
inco...
Adversarial self-play in two-player games has delivered impressive resul...