Mark Towers

12 papers A* 2A 1B 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comparative User Evaluation of XRL Explanations using Goal Identification.
CoRR
Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2025 A* conf
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC.
ICML
Tyler Clark, Mark Towers, Christine Evers, Jonathon Hare
2025 J jnl
Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement Learning.
CoRR
Balint Gyevnar, Mark Towers
2024 J jnl
Beyond The Rainbow: High Performance Deep Reinforcement Learning On A Desktop PC.
CoRR
Tyler Clark, Mark Towers, Christine Evers, Jonathon Hare
2024 A conf
Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators.
ECAI
Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2024 J jnl
Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators.
CoRR
Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2024 J jnl
Gymnasium: A Standard Interface for Reinforcement Learning Environments.
CoRR
Mark Towers, Ariel Kwiatkowski, Jordan K. Terry, John U. Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, Arjun KG, Rodrigo Perez-Vicente, Andrea Pierré, Sander Schulhoff, Jun Jet Tai, Hannah Tan, Omar G. Younis
2024 J jnl
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.
CoRR
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, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi
2024 — conf
Temporal Explanations of Deep Reinforcement Learning Agents.
EXTRAAMAS
Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2023 A* conf
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.
NeurIPS
Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan K. Terry
2023 J jnl
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.
CoRR
Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan K. Terry
2021 B conf
Online Resource Allocation in Edge Computing Using Distributed Bidding Approaches.
MASS
Caroline Rublein, Fidan Mehmeti, Mark Towers, Sebastian Stein, Thomas F. La Porta