Reinforcement learning for unknown stochastic environments with sparse and dynamic rewards
Lead Research Organisation:
University of Glasgow
Department Name: School of Computing Science
Abstract
In this project, we will analize and develop new deep reinforcement learning algorithms for challenging environments with, for example, stochastic non-Markovian dynamics and sparse dynamic rewards.
Organisations
People |
ORCID iD |
| Nicolas Pugeault (Primary Supervisor) | |
| Rory Young (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/T517896/1 | 01/10/2020 | 30/09/2025 | |||
| 2605265 | Studentship | EP/T517896/1 | 01/10/2021 | 31/03/2025 | Rory Young |