Exploring Gamma

Took a deeper dive on the (often neglected) discount factor in deep reinforcement learning (DRL).

SAC Implementation

What I learned from implementing Soft Actor Critic from scratch

Soft Actor Critic (SAC)

Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

AWS Deep Learning Guide

Quick guide to set up deep learning in the cloud

Proximal Policy Optimization Algorithms (PPO)

Policy optimization methods, Continued

Policy Optimization

Policy Gradient Methods for Reinforcement Learning with Function Approximation

Q Learning Methods

DQN, Double DQN, and Dueling DQN

Getting Started in Machine Learning

How to find the best way to start? Best resources?