5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem
Michael Allen, Kerry Pearn, Tom Monks
Background and motivation: Deep Reinforcement Learning (Deep RL) is a rapidly developing field. Historically most application has been made to games (such as chess, Atari games, an…
cs.LG2020
Integrating Deep Reinforcement Learning Networks with Health System Simulations
Michael Allen, Thomas Monks
Background and motivation: Combining Deep Reinforcement Learning (Deep RL) and Health Systems Simulations has significant potential, for both research into improving Deep RL perfor…