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10/07/2022
Population-Based Reinforcement Learning for Combinatorial Optimization
Applying reinforcement learning (RL) to combinatorial optimization probl...
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06/14/2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Allowing agents to share information through communication is crucial fo...
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05/28/2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
Combinatorial optimisation problems framed as mixed integer linear progr...
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05/27/2022
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
From logistics to the natural sciences, combinatorial optimisation on gr...
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09/26/2021
Autoregressive neural-network wavefunctions for ab initio quantum chemistry
Performing electronic structure calculations is a canonical many-body pr...
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06/30/2020
Backpropagation through nonlinear units for all-optical training of neural networks
Backpropagation through nonlinear neurons is an outstanding challenge to...
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02/17/2020
Learning Group Structure and Disentangled Representations of Dynamical Environments
Discovering the underlying structure of a dynamical environment involves...
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09/09/2019
