Research output per year
Research output per year
Search results
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2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL
Suau, M., Spaan, M. T. J. & Oliehoek, F. A., 2023, (Accepted/In press) European Reinforcement Learning Workshop.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile11 Downloads (Pure) -
2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
Suau, M., He, J., Çelikok, M. M., Spaan, M. T. J. & Oliehoek, F. A., 2022, Advances in Neural Information Processing Systems. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). 36 ed. Morgan Kaufmann Publishers, 14 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile24 Downloads (Pure) -
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
Suau, M., He, J., Spaan, M. T. J. & Oliehoek, F. A., 2022, Proceedings of the 39th International Conference on Machine Learning. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). PMLR, Vol. 162. p. 20604-20624 21 p. (Proceedings of Machine Learning Research; vol. 162).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile26 Downloads (Pure) -
Online Planning in POMDPs with Self-Improving Simulators
He, J., Suau, M., Baier, H., Kaisers, M. & Oliehoek, F. A., 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence (IJCAI), p. 4628-4634 7 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile16 Downloads (Pure) -
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators
Suau, M., He, J., Spaan, M. T. J. & Oliehoek, F. A., 2022, International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1735-1737 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile15 Downloads (Pure) -
2021
Using Bisimulation Metrics to Analyze and Evaluate Latent State Representations
Albers, N., Suau de Castro, M. & Oliehoek, F. A., 2021, BNAIC/BeneLearn 2021: 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. Leiva, E. L. A., Pruski, C., Markovich, R., Najjar, A. & Schommer, C. (eds.). p. 320-334Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile119 Downloads (Pure) -
2019
Influence-Based Abstraction in Deep Reinforcement Learning
Suau de Castro, M., Congeduti, E., Starre, R., Czechowski, A. & Oliehoek, F., 13 May 2019, AAMAS Workshop on Adaptive Learning Agents (ALA). Montreal, Canada, 8 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile75 Downloads (Pure)