Alexander Peysakhovich

Identifiers

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Papers (12)

1. Reward Weighted Classifier-Free Guidance as Policy Improvement in Autoregressive Models cs.LG · 2026 · author #1
2. Fair Division Without Disparate Impact cs.GT · 2019 · author #1
3. Robust Multi-agent Counterfactual Prediction cs.GT · 2019 · author #1
4. Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2 cs.LG · 2018 · author #1
5. Improving pairwise comparison models using Empirical Bayes shrinkage stat.ML · 2018 · author #2
6. Learning Existing Social Conventions via Observationally Augmented Self-Play cs.AI · 2018 · author #2
7. Consequentialist conditional cooperation in social dilemmas with imperfect information cs.AI · 2017 · author #1
8. Prosocial learning agents solve generalized Stag Hunts better than selfish ones cs.AI · 2017 · author #1
9. Maintaining cooperation in complex social dilemmas using deep reinforcement learning cs.AI · 2017 · author #2
10. Learning causal effects from many randomized experiments using regularized instrumental variables stat.ML · 2017 · author #1
11. Multi-Agent Cooperation and the Emergence of (Natural) Language cs.CL · 2016 · author #2
12. Combining observational and experimental data to find heterogeneous treatment effects cs.AI · 2016 · author #1

Mentions

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Frequent Coauthors

• Adam Lerer 5 shared papers
• Christian Kroer 2 shared papers
• Akos Lada 1 shared papers
• Angeliki Lazaridou 1 shared papers
• Dean Eckles 1 shared papers
• Johan Ugander 1 shared papers
• Marco Baroni 1 shared papers
• Stephen Ragain 1 shared papers
• William Berman 1 shared papers