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Finbarr Timbers
Finbarr Timbers
Midjourney
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Title
Cited by
Cited by
Year
OpenSpiel: A framework for reinforcement learning in games
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
2552019
Mastering the game of Stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
1642022
Detecting duplicate bug reports with software engineering domain knowledge
K Aggarwal, F Timbers, T Rutgers, A Hindle, E Stroulia, R Greiner
Journal of Software: Evolution and Process 29 (3), e1821, 2017
1132017
Computing approximate equilibria in sequential adversarial games by exploitability descent
E Lockhart, M Lanctot, J Pérolat, JB Lespiau, D Morrill, F Timbers, K Tuyls
arXiv preprint arXiv:1903.05614, 2019
762019
Student of Games: A unified learning algorithm for both perfect and imperfect information games
M Schmid, M Moravèík, N Burch, R Kadlec, J Davidson, K Waugh, N Bard, ...
Science Advances 9 (46), eadg3256, 2023
592023
Approximate exploitability: Learning a best response in large games
F Timbers, N Bard, E Lockhart, M Lanctot, M Schmid, N Burch, ...
arXiv preprint arXiv:2004.09677, 2020
442020
The advantage regret-matching actor-critic
A Gruslys, M Lanctot, R Munos, F Timbers, M Schmid, J Perolat, D Morrill, ...
arXiv preprint arXiv:2008.12234, 2020
242020
OpenSpiel: a framework for reinforcement learning in games. CoRR abs/1908.09453 (2019)
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
242019
Reward-respecting subtasks for model-based reinforcement learning
RS Sutton, MC Machado, GZ Holland, D Szepesvari, F Timbers, B Tanner, ...
Artificial Intelligence 324, 104001, 2023
202023
Emergent bartering behaviour in multi-agent reinforcement learning
MB Johanson, E Hughes, F Timbers, JZ Leibo
arXiv preprint arXiv:2205.06760, 2022
202022
Solving common-payoff games with approximate policy iteration
S Sokota, E Lockhart, F Timbers, E Davoodi, R D'Orazio, N Burch, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9695-9703, 2021
162021
Fast computation of Nash equilibria in imperfect information games
R Munos, J Perolat, JB Lespiau, M Rowland, B De Vylder, M Lanctot, ...
International Conference on Machine Learning, 7119-7129, 2020
112020
Bug reports dataset
A Alipour, A Hindle, T Rutgers, R Dawson, F Timbers, K Aggarwal
Dedup, 2013
112013
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
RS Sutton, MC Machado, GZ Holland, D Szepesvari, F Timbers, B Tanner, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22713 …, 2024
2024
Detecting Duplicate Bug Reports using a Hierarchy of Domain Knowledge Contexts
RG K. Aggarwal, A. Hindle, F. Timbers, E. Stroulia, T. Rutgers
Journal of Software: Evolution and Process 29 (3), 2017
2017
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