| 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 | 260 | 2014 |
| Dynamic potential-based reward shaping SM Devlin, D Kudenko Proceedings of the 11th international conference on autonomous agents and …, 2012 | 232 | 2012 |
| 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 | 172 | 2016 |
| 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 | 148 | 2019 |
| Theoretical considerations of potential-based reward shaping for multi-agent systems S Devlin, D Kudenko The 10th international conference on autonomous agents and multiagent …, 2011 | 147 | 2011 |
| 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 | 136 | 2017 |
| 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 | 106 | 2015 |
| 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 | 106 | 2011 |
| 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 | 81 | 2019 |
| 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 | 65 | 2015 |
| 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 | 59 | 2018 |
| 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 | 54 | 2017 |
| 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 | 52 | 2018 |
| Imitating human behaviour with diffusion models T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ... arXiv preprint arXiv:2301.10677, 2023 | 51 | 2023 |
| Game Intelligence S Devlin, PI Cowling, D Kudenko, N Goumagias, A Nucciareli, I Cabras, ... 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014 | 48 | 2014 |
| Resource abstraction for reinforcement learning in multiagent congestion problems K Malialis, S Devlin, D Kudenko arXiv preprint arXiv:1903.05431, 2019 | 39 | 2019 |
| 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 | 39 | 2017 |
| 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 | 38 | 2019 |
| 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 | 38 | 2019 |
| Win prediction in esports: Mixed-rank match prediction in multi-player online battle arena games V Hodge, S Devlin, N Sephton, F Block, A Drachen, P Cowling arXiv preprint arXiv:1711.06498, 2017 | 36 | 2017 |
Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyVerified email at l3s.de
