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Sam Devlin
Sam Devlin
Microsoft Research Cambridge
E-mail confirmado em microsoft.com
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Dynamic potential-based reward shaping
SM Devlin, D Kudenko
11th International Conference on Autonomous Agents and Multiagent Systems …, 2012
2842012
Potential-based difference rewards for multiagent reinforcement learning
S Devlin, L Yliniemi, D Kudenko, K Tumer
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
2752014
Generalization in reinforcement learning with selective noise injection and information bottleneck
M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann
Advances in neural information processing systems 32, 2019
2082019
Imitating human behaviour with diffusion models
T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ...
arXiv preprint arXiv:2301.10677, 2023
1972023
Potential-based reward shaping for finite horizon online pomdp planning
A Eck, LK Soh, S Devlin, D Kudenko
Autonomous Agents and Multi-Agent Systems 30 (3), 403-445, 2016
1892016
Theoretical considerations of potential-based reward shaping for multi-agent systems
S Devlin, D Kudenko
Tenth International Conference on Autonomous Agents and Multi-Agent Systems …, 2011
1712011
From value chains to technological platforms: The effects of crowdfunding in the digital game industry
A Nucciarelli, F Li, KJ Fernandes, N Goumagias, I Cabras, S Devlin, ...
Journal of Business Research 78, 341-352, 2017
1592017
Expressing arbitrary reward functions as potential-based advice
A Harutyunyan, S Devlin, P Vrancx, A Nowé
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
1392015
Win prediction in multiplayer esports: Live professional match prediction
VJ Hodge, S Devlin, N Sephton, F Block, PI Cowling, A Drachen
IEEE Transactions on Games 13 (4), 368-379, 2019
1192019
An Empirical Study Of Potential-Based Reward Shaping And Advice In Complex, Multi-Agent Systems
S Devlin, D Kudenko, M Grześ
Advances in Complex Systems (ACS) 14 (02), 251-278, 2011
1192011
Narrative bytes: Data-driven content production in esports
F Block, V Hodge, S Hobson, N Sephton, S Devlin, MF Ursu, A Drachen, ...
Proceedings of the 2018 ACM international conference on interactive …, 2018
802018
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning
P Mannion, S Devlin, J Duggan, E Howley
The Knowledge Engineering Review 33, e23, 2018
772018
Predicting player disengagement and first purchase with event-frequency based data representation
H Xie, S Devlin, D Kudenko, P Cowling
2015 IEEE conference on computational intelligence and games (CIG), 230-237, 2015
752015
Policy invariance under reward transformations for multi-objective reinforcement learning
P Mannion, S Devlin, K Mason, J Duggan, E Howley
Neurocomputing 263, 60-73, 2017
612017
Exploring survival rates of companies in the UK video-games industry: An empirical study
I Cabras, ND Goumagias, K Fernandes, P Cowling, F Li, D Kudenko, ...
Technological Forecasting and Social Change 117, 305-314, 2017
492017
Deep interactive bayesian reinforcement learning via meta-learning
L Zintgraf, S Devlin, K Ciosek, S Whiteson, K Hofmann
arXiv preprint arXiv:2101.03864, 2021
472021
The multi-agent reinforcement learning in malm\" o (marl\" o) competition
D Perez-Liebana, K Hofmann, SP Mohanty, N Kuno, A Kramer, S Devlin, ...
arXiv preprint arXiv:1901.08129, 2019
442019
Uni [mask]: Unified inference in sequential decision problems
M Carroll, O Paradise, J Lin, R Georgescu, M Sun, D Bignell, S Milani, ...
Advances in neural information processing systems 35, 35365-35378, 2022
42*2022
Resource abstraction for reinforcement learning in multiagent congestion problems
K Malialis, S Devlin, D Kudenko
arXiv preprint arXiv:1903.05431, 2019
422019
The text-based adventure AI competition
T Atkinson, H Baier, T Copplestone, S Devlin, J Swan
IEEE Transactions on Games 11 (3), 260-266, 2019
422019
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