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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

parl

A high-performance distributed training framework for Reinforcement Learning

pathplanning

Common used path planning algorithms with animations.

pydata-book

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

pytorch-from-zero-to-one

PyTorch从入门到精通

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

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

reinforcement learning

rl-learn

Using Natural Language for Reward Shaping in Reinforcement Learning