Samuel J. Gershman

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

2021 · arXiv (Cornell University)

Reinforcement learning (RL) studies how an agent comes to achieve reward in an environment through interactions over time. Recent advances in machine RL have surpassed human expertise at the world's oldest board games and many …

Blocked training facilitates learning of multiple schemas

2023

We all possess a mental library of schemas that specify how different types of events unfold. How are these schemas acquired? A key challenge is that learning a new schema can catastrophically interfere with (i.e., …

Adaptive Social Learning using Theory of Mind

2025

Social learning is a powerful mechanism through which agents learn about the world from others. However, humans don’t always choose to observe others, since social learning can carry time and cognitive resource costs. How do …