52 citations · 100 across the 6 of their papers we have counts for
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cs.LG2021
Room Clearance with Feudal Hierarchical Reinforcement Learning
Henry Charlesworth, Adrian Millea, Eddie Pottrill +1
Reinforcement learning (RL) is a general framework that allows systems to learn autonomously through trial-and-error interaction with their environment. In recent years combining R…
cs.LG2020★ 19 cited
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
Henry Charlesworth, Giovanni Montana
Learning with sparse rewards remains a significant challenge in reinforcement learning (RL), especially when the aim is to train a policy capable of achieving multiple different go…
cs.LG2018★ 6 cited
Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information
Henry Charlesworth
We introduce a new virtual environment for simulating a card game known as "Big 2". This is a four-player game of imperfect information with a relatively complicated action space (…