Russell, Stuart J.

26 publications

NeurIPS 2023 Bridging RL Theory and Practice with the Effective Horizon Cassidy Laidlaw, Stuart J Russell, Anca Dragan

NeurIPS 2021 Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart J. Russell

NeurIPS 2021 MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E Gonzalez, Stuart J. Russell

AAAI 2021 PAC Learning of Causal Trees with Latent Variables Prasad Tadepalli, Stuart J. Russell

NeurIPS 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown

NeurIPS 2021 Uncertain Decisions Facilitate Better Preference Learning Cassidy Laidlaw, Stuart J. Russell

NeurIPS 2020 Emergent Complexity and Zero-Shot Transfer via Unsupervised Environment Design Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart J. Russell, Andrew Critch, Sergey Levine

NeurIPS 2020 SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory Paria Rashidinejad, Jiantao Jiao, Stuart J. Russell

NeurIPS 2020 The MAGICAL Benchmark for Robust Imitation Sam Toyer, Rohin Shah, Andrew Critch, Stuart J. Russell

ICML 2019 Cognitive Model Priors for Predicting Human Decisions David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Stuart J. Russell, Thomas L. Griffiths

AAAI 2002 State Abstraction for Programmable Reinforcement Learning Agents David Andre, Stuart J. Russell

AISTATS 2001 Online Bagging and Boosting Nikunj C. Oza, Stuart J. Russell

NeurIPS 2000 Programmable Reinforcement Learning Agents David Andre, Stuart J. Russell

NeurIPS 1997 Reinforcement Learning with Hierarchies of Machines Ronald Parr, Stuart J. Russell

JAIR 1995 Provably Bounded-Optimal Agents Stuart J. Russell, Devika Subramanian

IJCAI 1993 Provably Bounded Optimal Agents Stuart J. Russell, Devika Subramanian, Ronald Parr

IJCAI 1991 Composing Real-Time Systems Stuart J. Russell, Shlomo Zilberstein

ICML 1989 Adaptive Learning of Decision-Theoretic Search Control Knowledge Eric Wefald, Stuart J. Russell

ICML 1989 Declarative Bias for Structural Domains Benjamin N. Grosof, Stuart J. Russell

IJCAI 1989 Execution Architectures and Compilation Stuart J. Russell

ICML 1988 Boundaries of Operationality Michael S. Braverman, Stuart J. Russell

AAAI 1988 IMEX: Overcoming Intactability in Explanation Based Learning Michael S. Braverman, Stuart J. Russell

AAAI 1988 Tree-Structured Bias Stuart J. Russell

AAAI 1987 A Declarative Approach to Bias in Concept Learning Stuart J. Russell, Benjamin N. Grosof

IJCAI 1987 A Logical Approach to Reasoning by Analogy Todd R. Davies, Stuart J. Russell

AAAI 1986 Quantitative Analysis of Analogy Stuart J. Russell