| A survey and critique of multiagent deep reinforcement learning P Hernandez-Leal, B Kartal, ME Taylor Autonomous Agents and Multi-Agent Systems 33 (6), 750-797, 2019 | 654 | 2019 |
| Is multiagent deep reinforcement learning the answer or the question? A brief survey P Hernandez-Leal, B Kartal, ME Taylor learning 21, 22, 2018 | 100 | 2018 |
| Uncertainty-aware action advising for deep reinforcement learning agents FL Da Silva, P Hernandez-Leal, B Kartal, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5792-5799, 2020 | 90 | 2020 |
| Agent modeling as auxiliary task for deep reinforcement learning P Hernandez-Leal, B Kartal, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019 | 57 | 2019 |
| Predictionnet: Real-time joint probabilistic traffic prediction for planning, control, and simulation A Kamenev, L Wang, OB Bohan, I Kulkarni, B Kartal, A Molchanov, ... 2022 International Conference on Robotics and Automation (ICRA), 8936-8942, 2022 | 51 | 2022 |
| User-driven narrative variation in large story domains using monte carlo tree search B Kartal, J Koenig, SJ Guy Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 51 | 2014 |
| Monte Carlo tree search for multi-robot task allocation B Kartal, E Nunes, J Godoy, M Gini Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 40 | 2016 |
| Stochastic tree search with useful cycles for patrolling problems B Kartal, J Godoy, I Karamouzas, SJ Guy 2015 IEEE international conference on robotics and automation (ICRA), 1289-1294, 2015 | 39 | 2015 |
| Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning B Kartal, P Hernandez-Leal, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019 | 36 | 2019 |
| Monte carlo tree search with branch and bound for multi-robot task allocation B Kartal, E Nunes, J Godoy, M Gini The IJCAI-16 workshop on autonomous mobile service robots 33, 2016 | 34 | 2016 |
| Data driven Sokoban puzzle generation with Monte Carlo tree search B Kartal, N Sohre, S Guy Proceedings of the AAAI Conference on Artificial Intelligence and …, 2016 | 29 | 2016 |
| Action Guidance with MCTS for Deep Reinforcement Learning B Kartal, P Hernandez-Leal, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019 | 25 | 2019 |
| Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition C Gao, P Hernandez-Leal, B Kartal, ME Taylor 4th Multidisciplinary Conference on Reinforcement Learning and Decision …, 2019 | 22 | 2019 |
| A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning P Hernandez-Leal, B Kartal, ME Taylor Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 20 | 2020 |
| Generating sokoban puzzle game levels with monte carlo tree search B Kartal, N Sohre, S Guy | 18 | 2016 |
| On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman C Gao, B Kartal, P Hernandez-Leal, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019 | 16 | 2019 |
| Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments N Douglas, D Yim, B Kartal, P Hernandez-Leal, F Maurer, ME Taylor Proceedings of the 2019 ACM International Conference on Interactive Surfaces …, 2019 | 15 | 2019 |
| Using Monte Carlo tree search as a demonstrator within asynchronous deep RL B Kartal, P Hernandez-Leal, ME Taylor arXiv preprint arXiv:1812.00045, 2018 | 12 | 2018 |
| Generating believable stories in large domains B Kartal, J Koenig, SJ Guy Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013 | 11 | 2013 |
| Safer Deep RL with Shallow MCTS: A Case Study in Pommerman B Kartal, P Hernandez-Leal, C Gao, ME Taylor AAMAS Workshop on Adaptive Learning Agents, 2019 | 7 | 2019 |
Matthew E. TaylorProfessor, University of AlbertaVerified email at ualberta.ca
