2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
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…
cs.LG2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
Clément Bonnet, Paul Caron, Thomas Barrett +2
Self-tuning algorithms that adapt the learning process online encourage more effective and robust learning. Among all the methods available, meta-gradients have emerged as a promis…