According to our database1, Matteo Hessel authored at least 8 papers between 2014 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement.
Proceedings of the 35th International Conference on Machine Learning, 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
The Predictron: End-To-End Learning and Planning.
Proceedings of the 34th International Conference on Machine Learning, 2017
Learning values across many orders of magnitude.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Dueling Network Architectures for Deep Reinforcement Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Automatic Tuning of Computational Models.
Proceedings of the Simulation and Modeling Methodologies, Technologies and Applications, 2014
A novel approach to model design and tuning through automatic parameter screening and optimization theory and application to a helicopter flight simulator case-study.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014
Machine Learning for Parameter Screening in Computer Simulations.
Proceedings of the Modelling and Simulation for Autonomous Systems, 2014