hu-hanyang Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

berkeley-deep-rl-pytorch-solutions

Pytorch solutions for UC Berkeley's cs285 assignments

cartpole_swingup

Implementation of PPO and Augmented Random Search

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cmpt-directed-reading-course

The directed reading course in the semester 2022 fall.

cpo

Constrained Policy Optimization

crazyswarm

A Large Quadcopter Swarm

cs-book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deepkoopmanwithcontrol

Soure code for Deep Koopman with Control

deepreach

deepreach-verification

distributional-soft-actor-critic

disturbance-crazyflie-simulation

Add disturbance to the Reinforcement Learning method in the simulation environments for the CrazyFlie quadrotor.

e2c-pytorch

A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015

fsrl

🚀 A fast safe reinforcement learning library in PyTorch

gym-cartpole-bt-v0

A modified version of the cart-pole OpenAI Gym environment for testing different control policies

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

how-to-be-a-good-programmer

I'm here to tell you some amazing stuff which teacher would never tell you.

hu-hanyang.github.io

Personal research website.

marag

Optimizing Dynamic Programming-Based Algorithms

my-rl-learning

A basic learning of reinforcement learning knowledge.

my-rl-template

My own template codes for reinforcement learning.

pcc-pytorch

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

rarl

Code to train RL agents along with Adversarial distrubance agents

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_basic_book

这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码

research_notes

科研经验总结