Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Updated
Jun 30, 2020 - Jupyter Notebook
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
A Universal Deep Reinforcement Learning Framework
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 collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
Projects for The School of AI
Model-based Policy Gradients
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/
Policy Gradients, DDPG, and TD3 in gym env
ReLAx - Reinforcement Learning Applications Library
Solutions to the Stanford CS:234 Reinforcement Learning 2022 course assignments.
Self Play Actor Critic, Reinforcement Learning on TROY; all puns intended
Project 2 of Udacity Deep Reinforcement Learning Nanodegree
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
Vanilla Policy Gradient (REINFORCE) implementation with PyTorch
Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).
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