Alex Peysakhovich
Alex Peysakhovich
Research Scientist, Facebook Artificial Intelligence Research
Verified email at - Homepage
Cited by
Cited by
Social heuristics shape intuitive cooperation
DG Rand, A Peysakhovich, GT Kraft-Todd, GE Newman, O Wurzbacher, ...
Nature Communications, 2014
Cooperating with the future
OP Hauser, DG Rand, A Peysakhovich, MA Nowak
Nature 511 (7508), 220-223, 2014
Humans display a 'cooperative phenotype' that is domain general and temporally stable
A Peysakhovich, MA Nowak, DG Rand
Nature Communications, 2014
Habits of virtue: creating norms of cooperation and defection in the laboratory
A Peysakhovich, DG Rand
Management Science, 2015
Multi-agent cooperation and the emergence of (natural) language
A Lazaridou, A Peysakhovich, M Baroni
International Conference on Learning Representations, 2017
PyTorch-BigGraph: A Large-scale Graph Embedding System
A Lerer, L Wu, J Shen, T Lacroix, L Wehrstedt, A Bose, A Peysakhovich
SysML, 2019
Maintaining cooperation in complex social dilemmas using deep reinforcement learning
A Lerer, A Peysakhovich
arXiv preprint arXiv:1707.01068, 2017
Recency, records, and recaps: Learning and nonequilibrium behavior in a simple decision problem
D Fudenberg, A Peysakhovich
ACM Transactions on Economics and Computation (TEAC) 4 (4), 1-18, 2016
Using methods from machine learning to evaluate behavioral models of choice under risk and ambiguity
A Peysakhovich, J Naecker
Journal of Economic Behavior & Organization 133, 373-384, 2017
Prosocial learning agents solve generalized Stag Hunts better than selfish ones
A Peysakhovich, A Lerer
AAMAS, 2018
Asymmetric effects of favorable and unfavorable information on decision-making under ambiguity
A Peysakhovich, U Karmarkar
Management Science, 2015
When punishment doesn't pay: 'cold glow' and decisions to punish
A Ouss, A Peysakhovich
Journal of Law and Economics 58 (3), 2015
6 Why We Cooperate
J Jordan, A Peysakhovich, DG Rand
The moral brain: A multidisciplinary perspective, 87, 2015
Backplay:" Man muss immer umkehren"
C Resnick, R Raileanu, S Kapoor, A Peysakhovich, K Cho, J Bruna
arXiv preprint arXiv:1807.06919, 2018
Consequentialist conditional cooperation in social dilemmas with imperfect information
A Peysakhovich, A Lerer
Proceedings of ICLR 2018, 2018
How not to drown in numbers
A Peysakhovich, S Stephens-Davidowitz
The New York Times, 6-7, 2015
Observational data for heterogeneous treatment effects with application to recommender systems
A Lada, A Peysakhovich, D Aparicio, M Bailey
Proceedings of the 2019 ACM Conference on Economics and Computation, 199-213, 2019
Learning causal effects from many randomized experiments using regularized instrumental variables
A Peysakhovich, D Eckles
Proceedings of WWW 2018, 2017
The good, the bad, and the unflinchingly selfish: Pro-sociality can be well predicted using payoffs and three behavioral types
Z Epstein, A Peysakhovich, D Rand
ACM Transactions on Economics and Computation (TEAC) 7 (3), 1-14, 2019
Discovering Context Effects from Raw Choice Data
A Seshadri, A Peysakhovich, J Ugander
ICML, 2019
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