Matteo Hessel

According to our database1, Matteo Hessel authored at least 14 papers between 2014 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Multi-task Deep Reinforcement Learning with PopArt.
CoRR, 2018

Observe and Look Further: Achieving Consistent Performance on Atari.
CoRR, 2018

Distributed Prioritized Experience Replay.
CoRR, 2018

Unicorn: Continual Learning with a Universal, Off-policy Agent.
CoRR, 2018

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

2017
Rainbow: Combining Improvements in Deep Reinforcement Learning.
CoRR, 2017

The Predictron: End-To-End Learning and Planning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
The Predictron: End-To-End Learning and Planning.
CoRR, 2016

Learning functions across many orders of magnitudes.
CoRR, 2016

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

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


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