Alexander Peysakhovich

According to our database1, Alexander Peysakhovich authored at least 31 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

"Other-Play" for Zero-Shot Coordination.
Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Market Equilibria with Uncertain Preferences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Good, the Bad, and the Unflinchingly Selfish: Pro-sociality can be Well Predicted Using Payoffs and Three Behavioral Types.
ACM Trans. Economics and Comput., 2019

Scalable Fair Division for 'At Most One' Preferences.
CoRR, 2019

Fair Division Without Disparate Impact.
CoRR, 2019

Robust Multi-agent Counterfactual Prediction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pytorch-BigGraph: A Large Scale Graph Embedding System.
Proceedings of Machine Learning and Systems 2019, 2019

Discovering Context Effects from Raw Choice Data.
Proceedings of the 36th International Conference on Machine Learning, 2019

Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Computing Large Market Equilibria using Abstractions.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Learning Existing Social Conventions via Observationally Augmented Self-Play.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Improving pairwise comparison models using Empirical Bayes shrinkage.
CoRR, 2018

Backplay: "Man muss immer umkehren".
CoRR, 2018

Learning Social Conventions in Markov Games.
CoRR, 2018

Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Consequentialist conditional cooperation in social dilemmas with imperfect information.
Proceedings of the 6th International Conference on Learning Representations, 2018

Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Towards AI that Can Solve Social Dilemmas.
Proceedings of the 2018 AAAI Spring Symposia, 2018

Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version).
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Maintaining cooperation in complex social dilemmas using deep reinforcement learning.
CoRR, 2017

Learning context-dependent preferences from raw data.
Proceedings of the 12th workshop on the Economics of Networks, Systems and Computation, 2017

Multi-Agent Cooperation and the Emergence of (Natural) Language.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Recency, Records, and Recaps: Learning and Nonequilibrium Behavior in a Simple Decision Problem.
ACM Trans. Economics and Comput., 2016

Habits of Virtue: Creating Norms of Cooperation and Defection in the Laboratory.
Manag. Sci., 2016

Asymmetric Effects of Favorable and Unfavorable Information on Decision Making Under Ambiguity.
Manag. Sci., 2016

Combining observational and experimental data to find heterogeneous treatment effects.
CoRR, 2016

The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2014
Recency, records and recaps: learning and non-equilibrium behavior in a simple decision problem.
Proceedings of the ACM Conference on Economics and Computation, 2014


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