3 citations · 5 across the 2 of their papers we have counts for
3 papers · 1 filter
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre
From logistics to the natural sciences, combinatorial optimisation on graphs underpins numerous real-world applications. Reinforcement learning (RL) has shown particular promise in…
Learning Group Structure and Disentangled Representations of Dynamical Environments
Robin Quessard, Thomas D. Barrett, William R. Clements
Learning disentangled representations is a key step towards effectively discovering and modelling the underlying structure of environments. In the natural sciences, physics has fou…
Exploratory Combinatorial Optimization with Reinforcement Learning
Thomas D. Barrett, William R. Clements, Jakob N. Foerster +1
Many real-world problems can be reduced to combinatorial optimization on a graph, where the subset or ordering of vertices that maximize some objective function must be found. With…