Marc G. Bellemare

According to our database1, Marc G. Bellemare authored at least 39 papers between 2007 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents.
J. Artif. Intell. Res., 2018

Approximate Exploration through State Abstraction.
CoRR, 2018

Count-Based Exploration with the Successor Representation.
CoRR, 2018

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Analysis of Categorical Distributional Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Distributional Reinforcement Learning With Quantile Regression.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Distributional Reinforcement Learning with Quantile Regression.
CoRR, 2017

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents.
CoRR, 2017

Count-Based Exploration with Neural Density Models.
CoRR, 2017

A Laplacian Framework for Option Discovery in Reinforcement Learning.
CoRR, 2017

The Reactor: A Sample-Efficient Actor-Critic Architecture.
CoRR, 2017

Automated Curriculum Learning for Neural Networks.
CoRR, 2017

A Distributional Perspective on Reinforcement Learning.
CoRR, 2017

The Cramer Distance as a Solution to Biased Wasserstein Gradients.
CoRR, 2017

Count-Based Exploration with Neural Density Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Laplacian Framework for Option Discovery in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Automated Curriculum Learning for Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Distributional Perspective on Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Safe and Efficient Off-Policy Reinforcement Learning.
CoRR, 2016

Q($λ$) with Off-Policy Corrections.
CoRR, 2016

Unifying Count-Based Exploration and Intrinsic Motivation.
CoRR, 2016

Safe and Efficient Off-Policy Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Unifying Count-Based Exploration and Intrinsic Motivation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Q(λ) with Off-Policy Corrections.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

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

2015
Human-level control through deep reinforcement learning.
Nature, 2015

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

Online Learning of k-CNF Boolean Functions.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Count-Based Frequency Estimation with Bounded Memory.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Compress and Control.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Compress and Control.
CoRR, 2014

Skip Context Tree Switching.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
The Arcade Learning Environment: An Evaluation Platform for General Agents.
J. Artif. Intell. Res., 2013

Bayesian Learning of Recursively Factored Environments.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
The Arcade Learning Environment: An Evaluation Platform for General Agents
CoRR, 2012

Sketch-Based Linear Value Function Approximation.
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

Investigating Contingency Awareness Using Atari 2600 Games.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2007
Context-Driven Predictions.
Proceedings of the IJCAI 2007, 2007


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