SLKTYHHM

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

AirSim-Drone-Racing-VAE-Imitation

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

BeamerStyleSlides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

deep-Q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

gym

A toolkit for developing and comparing reinforcement learning algorithms.

neurocoevolution

A Coevolutionary Approach to Deep Multi-agent Reinforcement Learning

paper

SLKTYHHM/aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

SLKTYHHM/AirSim-Drone-Racing-VAE-Imitation

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

SLKTYHHM/annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

SLKTYHHM/BeamerStyleSlides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

SLKTYHHM/deep-Q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

SLKTYHHM/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

SLKTYHHM/easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

SLKTYHHM/gym

A toolkit for developing and comparing reinforcement learning algorithms.

SLKTYHHM/neurocoevolution

A Coevolutionary Approach to Deep Multi-agent Reinforcement Learning

SLKTYHHM/paper

SLKTYHHM/PARL

A high-performance distributed training framework for Reinforcement Learning

SLKTYHHM/PathPlanning

Common used path planning algorithms with animations.

SLKTYHHM/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

SLKTYHHM/PyTorch-From-Zero-To-One

PyTorch从入门到精通

SLKTYHHM/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

SLKTYHHM/reinforcement-learning-an-introduction-2nd-edition

reinforcement learning

SLKTYHHM/rl-learn

Using Natural Language for Reward Shaping in Reinforcement Learning