Temporal-Difference Networks. - Richard S. Sutton; Brian Tanner (NIPS, 2004)

TD(lambda) networks: temporal-difference networks with eligibility traces. - Brian Tanner; Richard S. Sutton (ICML, 2005)

Using Predictive Representations to Improve Generalization in Reinforcement Learning. - Eddie J. Rafols; Mark B. Ring; Richard S. Sutton; Brian Tanner (IJCAI, 2005)

Temporal-Difference Networks with History. - Brian Tanner; Richard S. Sutton (IJCAI, 2005)

Hierarchical Heuristic Search Revisited. - Robert C. Holte; Jeffery Grajkowski; Brian Tanner (SARA, 2005)

Grounding Abstractions in Predictive State Representations. - Brian Tanner; Vadim Bulitko; Anna Koop; Cosmin Paduraru (IJCAI, 2007)

RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments. - Brian Tanner; Adam White 001 (J. Mach. Learn. Res., 2009)

Report on the 2008 Reinforcement Learning Competition. - Shimon Whiteson; Brian Tanner; Adam White 001 (AI Mag., 2010)

Protecting against evaluation overfitting in empirical reinforcement learning. - Shimon Whiteson; Brian Tanner; Matthew E. Taylor; Peter Stone 001 (ADPRL, 2011)

Evaluating Agents using Social Choice Theory. - Marc Lanctot; Kate Larson; Yoram Bachrach; Luke Marris; Zun Li 002; Avishkar Bhoopchand; Thomas W. Anthony 001; Brian Tanner; Anna Koop (CoRR, 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 001 (Artif. Intell., 2023)

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 001 (AAAI, 2024)