Repo for the Deep Reinforcement Learning Nanodegree program
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Updated
Nov 16, 2023 - Jupyter Notebook
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
OpenDILab Decision AI Engine
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
NMA deep learning course
Guided Policy Search
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
A simple framework for experimenting with Reinforcement Learning in Python.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
《Reinforcement Learning: An Introduction》(第二版)中文翻译
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
Framework for Multi-Agent Deep Reinforcement Learning in Poker
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