michaelnny / muzero

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Materials for a short course on convex optimization.

Convex Optimization code collection of solved problems and algorithms

#Awesome#A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

#计算机科学#Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

SystemVerilog language-oriented exercises

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

Network slicing gym environment and a model-based RL agent with kernels

Hands-on Deep Reinforcement Learning, published by Packt

#计算机科学#PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

#计算机科学#Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Massively Parallel Deep Reinforcement Learning. 🔥

#数据仓库#Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

https://hrl.boyuai.com/

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communicat...

pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of single-p...