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
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
A Universal Deep Reinforcement Learning Framework
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
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.
Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch
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/
ReLAx - Reinforcement Learning Applications Library
Artificial Intelligence series
Projects for The School of AI
Project 2 of Udacity Deep Reinforcement Learning Nanodegree
Solutions to the Stanford CS:234 Reinforcement Learning 2022 course assignments.
Self Play Actor Critic, Reinforcement Learning on TROY; all puns intended
The objective of this project is to develop an autonomous agent to perform well in the first person shooting games using various reinforcement learning techniques.
Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).
Policy Gradients, DDPG, and TD3 in gym env
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