Sen1553's Stars
opendilab/awesome-multi-modal-reinforcement-learning
A curated list of Multi-Modal Reinforcement Learning resources (continually updated)
luost26/academic-homepage
🏡 GitHub Pages template for personal academic homepage
Acellera/acegen-open
Language models for drug discovery using torchrl
Ponderfly/GoogleTranslateIpCheck
zhoubolei/bolei_awesome_posters
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
tjuDavidWang/MARL-UAVs-Targets-Tracking
Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Using Multi-Agent Reinforcement Learning'.
aviralkumar2907/BEAR
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
sfujim/BCQ
Author's PyTorch implementation of BCQ for continuous and discrete actions
DevMilk/UAV-Based-Cellular-Communication-Multi-Agent-DRL-Solution
UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management
yangyaojia/Bilibili_Bangumi_Download
B站下载姬~召唤你喜爱的番剧吧!~
lyhue1991/PythonAiRoad
source code of my blogs 😋😋
chandar-lab/crystal-design
Reinforcement Learning for Crystal Structure Design
batuhan3526/AirSim-PyTorch-Drone-DDQN-Agent
This code is the result of the collaboration of RL Turkey team.
heleidsn/UAV_Navigation_DRL_AirSim
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
kzl/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
AccumulateMore/CV
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
apexrl/Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
clementbernardd/Count-Based-Exploration
Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project
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, ... 🧠
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
facebookresearch/mbrl-lib
Library for Model Based RL
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
facebookresearch/ExPLORe
This is code to accompany the paper "Accelerating Exploration with Unlabeled Prior Data".
Intelligent-Driving-Laboratory/GOPS
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
x35f/model_based_rl
model based reinforcement learning algorithms for unstable baselines
AutonomousAgentsLab/cr-dv3
DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement learning agents.
hanjuku-kaso/awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
wangshusen/DRL
Deep Reinforcement Learning