Tan Zhi-Xuan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Normative Systems

Rational Agents

Sequential Monte Carlo

Top Venues

Publications

Ninell Oldenburg, Tan Zhi-Xuan
Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games. AAMAS (2024)
Ninell Oldenburg, Tan Zhi-Xuan
Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games. CoRR (2024)
Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum
Grounding Language about Belief in a Bayesian Theory-of-Mind. CoRR (2024)
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. CoRR (2024)
Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals. CoRR (2024)
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. AAMAS (2024)
David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua B. Tenenbaum
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR (2024)
Tan Zhi-Xuan, Paul Stefan Lunis, Nathalie Fernandez Echeverri, Vikash Mansinghka, Josh Tenenbaum
Language Models as Informative Goal Priors in a Bayesian Theory of Mind. CogSci (2023)
Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. CoRR (2023)
Joseph Kwon, Tan Zhi-Xuan, Josh Tenenbaum, Sydney Levine
When it's not out of line to get out of line: Principles of universalizability, welfare, and harm. CogSci (2023)
Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. AISTATS (2023)
Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum
Inferring the Goals of Communicating Agents from Actions and Instructions. CoRR (2023)
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR (2023)
Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. CoRR (2022)
Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning. CoRR (2022)
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash Mansinghka, Josh Tenenbaum
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CogSci (2021)
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash K. Mansinghka, Joshua B. Tenenbaum
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CoRR (2021)
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka
Online Bayesian Goal Inference for Boundedly Rational Planning Agents. NeurIPS (2020)
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents. CoRR (2020)