Scholar
Philip Jordan
Google Scholar ID: ttcFqqoAAAAJ
EPFL
Citations & Impact
Citations
20
H-index
2
i10-index
1
Publications
4
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published paper 'Independent Learning in Constrained Markov Potential Games' in AISTATS '24: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics; Published paper 'Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence' in AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems.
Research Experience
- Doctoral Assistant, Systems Control And Multiagent Optimization Research, EPFL; Co-founder of a startup in the field of smart contracts.
Education
- Bachelor's degree: ETH Zurich, Computer Science; Master's degree: ETH Zurich, Computer Science; Spent one semester at Princeton University.
Background
- Research interests include (multi-agent) reinforcement learning, optimization, and game theory. His master's thesis focused on independent learning in Markov potential games.
Co-authors