Publications

My Google Scholar profile.


My dissertation:

Local Planning For Continuous Markov Decision Processes.


Model-based hierarchical reinforcement learning and human action control.  Matthew Botvinick, Ari Weinstein.  Philosophical Transactions of the Royal Society of London: Series B 2014.

 

Inferring the intentional states of autonomous virtual agents.  Peter Pantelis, Chris L. Baker, Steve Cholewiak, Kevin Sanik, Ari Weinstein, Chia-Chen Wu, Joshua B. Tenenbaum, and Jacob Feldman.  Cognition 2014.

 

Open-loop planning in large-scale stochastic domains.  Ari Weinstein and Michael L. Littman.  In AAAI 2013.

 

The cross-entropy method optimizes for quantiles.  Sergiu Goschin, Michael L. Littman, and Ari Weinstein.  In ICML 2013.

 

Planning in Reward-Rich Domains via PAC Bandits.  Sergiu Goschin, Ari Weinstein, Michael L. Littman, and Erick Chastain.  In JMLR W&C Proceedings Vol 24 2012.

 

Rollout-based Game-tree Search Outprunes Traditional Alpha-beta.  Ari Weinstein, Michael L Littman, and Sergiu Goschin.  In JMLR W&C Proceedings Vol 24 2012.

  • FSSS vs MTD

 

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

 

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

 

Sample-based Planning for Continuous Action Markov Decision Processes.  Ari Weinstein, Chris Mansley, and Michael L. Littman. ICML 2010 Workshop on Reinforcement Learning and Search in Very Large Spaces.

 

Sample-Based Planning for Continuous Action Markov Decision Processes. Chris Mansley, Ari Weinstein and Michael L. Littman.

  • Slides
  • Poster (4th Annual Perceptual Science Forum, Rutgers University)

 

 

 

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