Sample-Based Planning for Continuous Action Markov Decision Processes. - Christopher R. Mansley; Ari Weinstein; Michael L. Littman (ICAPS, 2011)

Perception of intentions and mental states in autonomous virtual agents. - Peter C. Pantelis; Steven A. Cholewiak; Paul Ringstad; Kevin Sanik; Ari Weinstein; Chia-Chien Wu; Jacob Feldman (CogSci, 2011)

Bandit-Based Planning and Learning in Continuous-Action Markov Decision Processes. - Ari Weinstein; Michael L. Littman (ICAPS, 2012)

Planning in Reward-Rich Domains via PAC Bandits. - Sergiu Goschin; Ari Weinstein; Michael L. Littman; Erick Chastain (EWRL, 2012)

Rollout-based Game-tree Search Outprunes Traditional Alpha-beta. - Ari Weinstein; Michael L. Littman; Sergiu Goschin (EWRL, 2012)

Open-Loop Planning in Large-Scale Stochastic Domains. - Ari Weinstein; Michael L. Littman (AAAI, 2013)

The Cross-Entropy Method Optimizes for Quantiles. - Sergiu Goschin; Ari Weinstein; Michael L. Littman (ICML (3), 2013)

Structure Learning in Motor Control: A Deep Reinforcement Learning Model. - Ari Weinstein; Matthew M. Botvinick (CogSci, 2017)

Probing Physics Knowledge Using Tools from Developmental Psychology. - Luis Piloto; Ari Weinstein; Dhruva TB; Arun Ahuja; Mehdi Mirza; Greg Wayne; David Amos; Chia-Chun Hung; Matthew M. Botvinick (CoRR, 2018)

Human-centered mechanism design with Democratic AI. - Raphael Koster; Jan Balaguer; Andrea Tacchetti; Ari Weinstein; Tina Zhu; Oliver P. Hauser; Duncan Williams; Lucy Campbell-Gillingham; Phoebe Thacker; Matthew M. Botvinick; Christopher Summerfield (CoRR, 2022)

HCMD-zero: Learning Value Aligned Mechanisms from Data. - Jan Balaguer; Raphael Koster; Ari Weinstein; Lucy Campbell-Gillingham; Christopher Summerfield; Matthew M. Botvinick; Andrea Tacchetti (CoRR, 2022)