Mr Mark Towers

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Email: mt5g17@soton.ac.uk

ORCID

Publications

6 publications

Page 1 of 1

Explaining an agent’s future beliefs through temporally decomposing future reward estimators

Mark Towers, Yali Du, Chris Freeman & Tim Norman, 2024

DOI: 10.3233/FAIA240814

Type: conference

Temporal explanations for deep reinforcement learning agents

Mark Towers, Yali Du, Chris Freeman & Tim Norman, 2024

DOI: 10.1007/978-3-031-70074-3_6

Type: conference

Gymnasium: a standard interface for reinforcement learning environments

Mark Towers, Ariel Kwiatkowski, Jordan Terry, John U. Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, K.G. Arjun, Rodrigo Perez-Vicente, Andrea Pierré, Sander Schulhoff, Jun Jet Tai, Hannah Tan & Omar G. Younis, 2024

DOI: 10.48550/arXiv.2407.17032

Type: other

Open RL benchmark: comprehensive tracked experiments for reinforcement learning

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G.M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, KG Arjun, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi & Brent Yi, 2024

DOI: 10.48550/arXiv.2402.03046

Type: other

Minigrid & miniworld: modular & customizable reinforcement learning environments for goal-oriented tasks

Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro & Jordan Terry, 2023

Type: conference

Online resource allocation in edge computing using distributed bidding approaches

Caroline Rublein, Fidan Mehmeti, Mark Towers, Sebastian Stein & Thomas La Porta, 2021

Type: conference

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