Pinned Repositories
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's Repositories
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