Канал: AI Prism

Deep RL Bootcamp Frontiers Lecture I: Recent Advances, Frontiers and Future of Deep RL

Deep RL Bootcamp Frontiers Lecture I: Recent Advances, Frontiers and Future of Deep RL

Deep RL Bootcamp TAs Research Overview

Deep RL Bootcamp TAs Research Overview

Deep RL Bootcamp Lecture 10B Inverse Reinforcement Learning

Deep RL Bootcamp Lecture 10B Inverse Reinforcement Learning

Deep RL Bootcamp Lecture 10A Utlities

Deep RL Bootcamp Lecture 10A Utlities

Deep RL Bootcamp Lecture 9 Model-based Reinforcement Learning

Deep RL Bootcamp Lecture 9 Model-based Reinforcement Learning

Deep RL Bootcamp Lecture 8 Derivative Free Methods

Deep RL Bootcamp Lecture 8 Derivative Free Methods

Deep RL Bootcamp Lecture 7 SVG, DDPG, and Stochastic Computation Graphs (John Schulman)

Deep RL Bootcamp Lecture 7 SVG, DDPG, and Stochastic Computation Graphs (John Schulman)

Deep RL Bootcamp Lecture 6: Nuts and Bolts of Deep RL Experimentation

Deep RL Bootcamp Lecture 6: Nuts and Bolts of Deep RL Experimentation

Deep RL Bootcamp Lecture 5: Natural Policy Gradients, TRPO, PPO

Deep RL Bootcamp Lecture 5: Natural Policy Gradients, TRPO, PPO

Deep RL Bootcamp Lecture 4B Policy Gradients Revisited

Deep RL Bootcamp Lecture 4B Policy Gradients Revisited

Deep RL Bootcamp Lecture 4A: Policy Gradients

Deep RL Bootcamp Lecture 4A: Policy Gradients

Deep RL Bootcamp Lecture 3: Deep Q-Networks

Deep RL Bootcamp Lecture 3: Deep Q-Networks

Deep RL Bootcamp Lecture 2: Sampling-based Approximations and Function Fitting

Deep RL Bootcamp Lecture 2: Sampling-based Approximations and Function Fitting

Deep RL Bootcamp Lecture 1: Motivation + Overview + Exact Solution Methods

Deep RL Bootcamp Lecture 1: Motivation + Overview + Exact Solution Methods

Frontiers Lecture II: Recent Advances, Frontiers and Future of Deep RL

Frontiers Lecture II: Recent Advances, Frontiers and Future of Deep RL