Emanuel Tewolde

Researcher, FAIR, Facebook

PhD student, Computer Science, Carnegie Mellon University

Joined

January 2024

Names

Emanuel Tewolde (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@gmail.com (Confirmed)

****@meta.com (Confirmed)

Personal Links

Career & Education History

Researcher

FAIR, Facebook (meta.com)

2025 – Present

PhD student

Computer Science, Carnegie Mellon University (cmu.edu)

2022 – Present

MS student

Mathematics, Imperial College London (ic.ac.uk)

2020 – 2021

Undergrad student

Mathematics, Technische Universität Darmstadt (tu-darmstadt.de)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Vincent Conitzer

2022 – Present

Expertise

reinforcement learning

2022 – Present

algorithmic game theory

equilibrium computation

2021 – Present

Publications

Decision Making under Imperfect Recall: Algorithms and Benchmarks
Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer
- ICLR 2026 Workshop AIMS Oral
- Readers: Everyone
On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting
Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer, Mingyu Guo, Marijn Heule, Lirong Xia
- ICLR 2026 Workshop AIMS Oral
- Readers: Everyone
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
Emanuel Tewolde, Xiao Zhang, David Guzman Piedrahita, Vincent Conitzer, Zhijing Jin
- ICLR 2026 Workshop AIMS
- Readers: Everyone
Convergence of Regret Matching in Potential Games and Constrained Optimization
Ioannis Anagnostides, Emanuel Tewolde, Brian Hu Zhang, Ioannis Panageas, Vincent Conitzer, Tuomas Sandholm
- ICLR 2026 Poster
- Readers: Everyone
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Steffen Backmann, David Guzman Piedrahita, Emanuel Tewolde, Rada Mihalcea, Bernhard Schölkopf, Zhijing Jin
- Submitted to ICLR 2026
- Readers: Everyone
Decision Making under Imperfect Recall: Algorithms and Benchmarks
Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer
- Submitted to ICLR 2026
- Readers: Everyone
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala et al. (66 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Expected Variational Inequalities
Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm
- ICML 2025 oral
- Readers: Everyone
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mosse, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
- IJCAI 2024 Workshop AIGOV
- Readers: Everyone
Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
- ICML 2024 Poster
- Readers: Everyone

Co-Authors

View all 112 co-authors