Thollen's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
GitHubDaily/GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
aikorea/awesome-rl
Reinforcement learning resources curated
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
werner-duvaud/muzero-general
MuZero
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
tristandeleu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
ahangchen/torch_base
Quickly bring up your PyTorch project(a skeleton)
awjuliani/Meta-RL
Implementation of Meta-RL A3C algorithm
ClownW/Reinforcement-learning-with-PyTorch
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
lmzintgraf/varibad
Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
yuxiang-gao/PySocialForce
Extended Social Force Model in Python for social navigation research
ADGEfficiency/rl-resources
A curated collection of reinforcement learning resources
achao2013/Learning-To-Reinforcement-Learn
a implement of meta-RL
conglu1997/SynthER
Synthetic Experience Replay
lucaslingle/pytorch_rl2
Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
yiyunevin/RL-RRT-Local-Planner
A ROS package of a autonomous navigation method based on SAC and Bidirectional RRT* (Repository RL-RRT-Global-Planner).
estshorter/dwa
Python implementation of DWA (Dynamic Window Approach)
wangyifan2018/ConvLSTM-image-prediction
Predict pictures based on ConvLSTM
ibrahimgb/robot-navigation-using-deep-reinforcement-learning
Deep Reinforcement Learning for mobile robot navigation, a robot learns to navigate to a random goal point from random moves to adopting a strategy, in a simulated maze environment while avoiding dynamic obstacles.
BlackTea12/RL-DWA
Using stable-baselines3 'PPO' reinforcement learning algorithm to train dynamic window approach
kmilo7204/dwa_planner
This repository contains the implementation of the Dynamic Window Approach (DWA) local planner.
Reinforcement-Learning-F22/Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps
Using Reinforcement Learning (RL) algorithms to plan a global route for mobile robot navigation problems. Q-learning, Sarsa, and Double Q-learning algorithms for the environment with cliff, mouse, and cheese are compared.
ytg7146/DU_CNN
Denoising code from Yoon, Taekeun, et al. "Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment." Combustion and Flame 248 (2023): 112583.
dixantmittal/rrt-star-in-dynamic-environment
Implementing RRT and RRT* for car like robot in dynamic environment and comparing their performances
Mohammadreza-Beygifard/Dynamic-Window-Approach
I am putting the code I have written for my thesis. As soon as I update the code I put the new one here.
wcl20/Robotics-Dynamic-Window-Approach