Kleiman-Weiner, Max
Bibliographic References tagged with Kleiman-Weiner, Max
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S. A. Wu, R. E. Wang, J. A. Evans, J. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too many cooks: Coordinating multi-agent collaboration through inverse planning”, in Proc. 42nd Annual Meeting of the Cognitive Science Society, 2020, pp. 889–895.
S. A. Wu, R. E. Wang, J. A. Evans, J. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too many cooks: Coordinating multi-agent collaboration through inverse planning”, in Proc. 42nd Annual Meeting of the Cognitive Science Society, 2020, pp. 889–895.
S. A. Wu, R. E. Wang, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration”, Topics Cognitive Science , vol. 13, no. 2, pp. 414–432, 2021.
S. A. Wu, R. E. Wang, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration”, Topics Cognitive Science , vol. 13, no. 2, pp. 414–432, 2021.
J. Serrino, M. Kleiman-Weiner, D. C. Parkes, and J. B. Tenenbaum,
“Finding Friend and Foe in Multi-Agent Games”, in Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), 2019, pp. 1249–1259.
J. Serrino, M. Kleiman-Weiner, D. C. Parkes, and J. B. Tenenbaum,
“Finding Friend and Foe in Multi-Agent Games”, in Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), 2019, pp. 1249–1259.
R. E. Wang, S. A. Wu, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning (Extended Abstract)”, in Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 2020, pp. 2032–2034.
R. E. Wang, S. A. Wu, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning (Extended Abstract)”, in Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 2020, pp. 2032–2034.