Reinforcement Learning and Computational Neuroscience

This chapter discusses the concept of reinforcement learning and its connection to computational neuroscience. The speakers explain how animals and humans can learn from rewards and make decisions based on the value associated with different states. The chapter also explores the role of exploration and reward prediction error in learning the value function.