Samuel Sokota is a researcher who did their PhD with Zico Kolter in the Machine Learning Department at Carnegie Mellon University focused on reinforcement learning and test-time compute under imperfect information.
Referenced in coverage
“Lead author of paper on Ataraxos AI system that beats top Stratego players.”
“Co-author of Nature paper on Ataraxos, an AI system that beat the top Stratego player 15-1, trained on under $8,000 budget.”