Arthur Guez

According to our database1, Arthur Guez authored at least 22 papers between 2008 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
Learning to Search with MCTSnets.
CoRR, 2018

Learning to Search with MCTSnets.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

2016
Mastering the game of Go with deep neural networks and tree search.
Nature, 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

Deep Reinforcement Learning with Double Q-Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Increasing the Action Gap: New Operators for Reinforcement Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Deep Reinforcement Learning with Double Q-learning.
CoRR, 2015

Increasing the Action Gap: New Operators for Reinforcement Learning.
CoRR, 2015

2014
Better Optimism By Bayes: Adaptive Planning with Rich Models.
CoRR, 2014

Bayes-Adaptive Simulation-based Search with Value Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search.
J. Artif. Intell. Res., 2013

2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
CoRR, 2012

Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010
Multi-tasking SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Treating Epilepsy via Adaptive Neurostimulation: a Reinforcement Learning Approach.
Int. J. Neural Syst., 2009

2008
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008


  Loading...