Deep RL Bootcamp

26-27 August 2017 | Berkeley CA

Lectures

  • Core Lecture 1 Intro to MDPs and Exact Solution Methods -- Pieter Abbeel (video | slides)

  • Core Lecture 2 Sample-based Approximations and Fitted Learning -- Rocky Duan (video | slides)

  • Core Lecture 3 DQN + Variants -- Vlad Mnih (video | slides)

  • Core Lecture 4a Policy Gradients and Actor Critic -- Pieter Abbeel (video | slides)

  • Core Lecture 4b Pong from Pixels -- Andrej Karpathy (video | slides)

  • Core Lecture 5 Natural Policy Gradients, TRPO, and PPO -- John Schulman (video | slides)

  • Core Lecture 6 Nuts and Bolts of Deep RL Experimentation -- John Schulman (video | slides)

  • Core Lecture 7 SVG, DDPG, and Stochastic Computation Graphs -- John Schulman (video | slides)

  • Core Lecture 8 Derivative-free Methods -- Peter Chen (video | slides)

  • Core Lecture 9 Model-based RL -- Chelsea Finn (video | slides)

  • Core Lecture 10a Utilities -- Pieter Abbeel (video | slides)

  • Core Lecture 10b Inverse RL -- Chelsea Finn (video | slides)

  • Frontiers Lecture I: Recent Advances, Frontiers and Future of Deep RL -- Vlad Mnih (video | slides)

  • Frontiers Lecture II: Recent Advances, Frontiers and Future of Deep RL -- Sergey Levine (video | slides)

  • TAs Research Overviews (video | slides)

Core Lecture 1 Intro to MDPs and Exact Solution Methods (Pieter Abbeel)

Core Lecture 2 Sample-based Approximations and Fitted Learning (Yan (Rocky) Duan)

Core Lecture 3 DQN + variants (Vlad Mnih)

Core Lecture 4a Policy Gradients and Actor Critic (Pieter Abbeel)

Core Lecture 4b Pong from Pixels (Andrej Karpathy)

Core Lecture 5 Natural Policy Gradients, TRPO, and PPO (John Schulman)

Core Lecture 6 Nuts and Bolts of Deep RL Experimentation

Core Lecture 7 SVG, DDP, and Stochastic Computation Graphs

Core Lecture 8 Derivative Free Methods (Xi (Peter) Chen)

Core Lecture 9 Model-based RL (Chelsea Finn)

Core Lecture 10a Utilities (Pieter Abbeel)

Core Lecture 10b Inverse RL (Chelsea Finn)

Frontiers Lecture I: Recent Advances, Frontiers and Future of Deep RL (Vlad Mnih)

Frontiers Lecture II: Recent Advances, Frontiers and Future of Deep RL (Sergey Levine)

TAs Research Overview