Overview of Deep Reinforcement Learning Methods

Overview of Deep Reinforcement Learning Methods

Share:

Similar Tracks

Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming Steve Brunton

Reinforcement Learning Series: Overview of Methods Steve Brunton

Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning Steve Brunton

MIT 6.S191: Reinforcement Learning Alexander Amini

DeepMind x UCL RL Lecture Series - Policy-Gradient and Actor-Critic methods [9/13] Google DeepMind

Policy Gradient Theorem Explained - Reinforcement Learning Elliot Waite

Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering Steve Brunton

MIT 6.S191 (2024): Reinforcement Learning Alexander Amini

Reinforcement Learning: Machine Learning Meets Control Theory Steve Brunton

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

The FASTEST introduction to Reinforcement Learning on the internet Gonkee

Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback Stanford Online

Reinforcement Learning with Neural Networks: Essential Concepts StatQuest with Josh Starmer

Deep Reinforcement Learning: Neural Networks for Learning Control Laws Steve Brunton

Reinforcement Learning: Essential Concepts StatQuest with Josh Starmer

Watching Neural Networks Learn Emergent Garden

Deep Reinforcement Learning for Fluid Dynamics and Control Steve Brunton

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

MIT Introduction to Deep Learning | 6.S191 Alexander Amini