L6 Model-based RL (Foundations of Deep RL Series)

L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)

L4 TRPO and PPO (Foundations of Deep RL Series)

CS885 Lecture 9: Model-based RL

CVPR 2021 Keynote -- Pieter Abbeel -- Towards a General Solution for Robotics.

MLPC2020: Sergey Levine, Model-based RL

L3 Policy Gradients and Advantage Estimation (Foundations of Deep RL Series)

11. Introduction to Machine Learning

Reinforcement Learning Series: Overview of Methods

Stanford CS25: V1 I Decision Transformer: Reinforcement Learning via Sequence Modeling

L1 Introduction -- CS294-158 SP24 Deep Unsupervised Learning -- UC Berkeley Spring 2024

L5 DDPG and SAC (Foundations of Deep RL Series)

L2 Deep Q-Learning (Foundations of Deep RL Series)

CS 285: Lecture 15, Part 1: Offline Reinforcement Learning

Cambridge Seminar Series Alex Tong

MIT 6.S191 (2021): Reinforcement Learning

Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming

RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning

Reinforcement Learning: Machine Learning Meets Control Theory

Nuts and Bolts of Applying Deep Learning (Andrew Ng)

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