Decision-making in Brains and Robots - The Case for an Interdisciplinary Approach
Current Opinion in Behavioral Sciences / / 2019 / Lee, Sang Wan
Toward High-performance, Memory-efficient, and Fast Reinforcement Learning-lessons from Decision Neuroscience
Science Robotics / / 2019 / Lee, Sang Wan
Neurostimulation Reveals Context-Dependent Arbitration Between Model-Based and Model-Free Reinforcement Learning
Cerebral Cortex / / 2019 / Lee, Sang Wan
Decoupling between Causal Understanding and Awareness during Learning and Inference
bioRxiv / / 2018 / Lee, Sang Wan
Task Complexity Interacts with State-space Uncertainty in the Arbitration Process between Model-based and Model-free Reinforcement-learning at both Behavioral and Neural Levels
bioRxiv / / 2018 / Lee, Sang Wan
Model-based and Model-free Pain Avoidance Learning
Brain and Neuroscience Advances / / 2018 / Lee, Sang Wan
Effects of Depression on Prefrontal Striatal Goal Directed and Habitual Control
bioRxiv / / 2018 / Lee, Sang Wan
Model-based Reinforcement Learning using Probabilistic Simulation
Journal of Korean Institute of Intelligent Systems / / 2018 / Lee, Sang Wan
Reinforcement Learning: from Algorithms to Neuroscience
Communications of KIISE / / 2018 / Lee, Sang Wan