Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning Deep Learning

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

A Universal Deep Reinforcement Learning Framework

A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.

Model-based Policy Gradients

ReLAx - Reinforcement Learning Applications Library

Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/

Projects for The School of AI

Solutions to the Stanford CS:234 Reinforcement Learning 2022 course assignments.

Project 2 of Udacity Deep Reinforcement Learning Nanodegree

Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).

Self Play Actor Critic, Reinforcement Learning on TROY; all puns intended

Policy Gradients, DDPG, and TD3 in gym env

Vanilla Policy Gradient (REINFORCE) implementation with PyTorch

Remember the sad Marvin from "Hitchhiker's guide to the galaxy"? In this project we train him to walk from the scratch using only pure python with numpy!

Exploring the fundamentals of neural networks