Brian Tanner

According to our database, Brian Tanner authored at least 12 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint).

Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reward-respecting subtasks for model-based reinforcement learning.

Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White

Artif. Intell., November, 2023

Evaluating Agents using Social Choice Theory.

Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop

CoRR, 2023

2011

Protecting against evaluation overfitting in empirical reinforcement learning.

Shimon Whiteson, Brian Tanner, Matthew E. Taylor, Peter Stone

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010

Report on the 2008 Reinforcement Learning Competition.

Shimon Whiteson, Brian Tanner, Adam White

AI Mag., 2010

2009

RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments.

Brian Tanner, Adam White

J. Mach. Learn. Res., 2009

2007

Grounding Abstractions in Predictive State Representations.

Brian Tanner, Vadim Bulitko, Anna Koop, Cosmin Paduraru

Proceedings of the IJCAI 2007, 2007

2005

Hierarchical Heuristic Search Revisited.

Robert C. Holte, Jeffery Grajkowski, Brian Tanner

Proceedings of the Abstraction, 2005

Temporal-Difference Networks with History.

Brian Tanner, Richard S. Sutton

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Using Predictive Representations to Improve Generalization in Reinforcement Learning.

Eddie J. Rafols, Mark B. Ring, Richard S. Sutton, Brian Tanner

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

TD(lambda) networks: temporal-difference networks with eligibility traces.

Brian Tanner, Richard S. Sutton

Proceedings of the Machine Learning, 2005

2004

Temporal-Difference Networks.

Richard S. Sutton, Brian Tanner

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004