BI ViDA Panel Discussion: Deep RL and Dopamine

Brain Inspired
Brain Inspired
BI ViDA Panel Discussion: Deep RL and Dopamine
Loading
/

BI ViDA Panel:

Deep RL and Dopamine

This is a panel discussion at the Virtual Dopamine Conference 2021 (last episode Ali Mohebi and Ben Engelhard discussed dopamine more broadly).

Before the panel, Matt Botvinick gave a talk about how deep reinforcement learning is doing amazing things and helping drive our understanding of brain function.

Different views on dopamine, deep RL, and the brain

by Daphne Cornelisse.

What can artificial intelligence teach us about how the brain uses dopamine to learn?
Recent advances in artificial intelligence have yielded novel algorithms for reinforcement learning (RL), which leverage the power of deep learning together with reward prediction error signals in order to achieve unprecedented performance in complex tasks. In the brain, reward prediction error signals are thought to be signaled by midbrain dopamine neurons and support learning. Can these new advances in Deep RL help us understand the role that dopamine plays in learning? In this panel experts in both theoretical and experimental dopamine research will discuss this question.

Panel

    Timestamps:
    0:00 – Intro
    4:45 – Armin Lak
    6:50 – Ashok Litwin-Kumar
    8:28 – Ilana Witten
    10:15 – Ida Mommenejad
    11:57 – Is reward enough?
    14:56 – Can AI lead neuroscience astray?
    25:45 – Other roles for dopamine
    31:33 – Does structure matter?
    44:30 – Non-brain-like solutions in AI
    48:03 – What’s missing in deep RL for brains?