RedickYang

RedickYang's Stars

• dragen1860/awesome-meta-learning

  A curated list of Meta-Learning resources/papers.

  55498

• openai/swarm

  Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

  Language:Python17.5k1.8k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.3k6.2k

• ucl-dark/pax

  Scalable Opponent Shaping Experiments in JAX

  Language:Python245

• CN-UPB/DeepCoMP

  Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

  Language:Python5813

• Apress/Reinforcement-Learning-for-Sequential-Decision-and-Optimal-Control

  Source Code

  Language:Python14930

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3.2k381

• tristandeleu/pytorch-maml-rl

  Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

  Language:Python836162

• wbwang2020/MP-MAB

  This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation inIoT Networks over Unlicensed Bandwidth as aContextual Multi-player Multi-armed Bandit Game", to appear in IEEE Transactions on Wireless Communications, 2021.

  Language:Python3011

• jianzhnie/deep-marl-toolkit

  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

  Language:Python11415

• zhangxiaochen95/uav_bs_ctrl

  Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".

  Language:Python8322

• nobodymx/Resilient-swarm-communications-with-meta-graph-convolutional-networks

  Meta graph convolutional neural network-assisted resilient swarm communications

  Language:Python8320

• google/brain_autorl

  Language:Python509

• Improbable-AI/eipo

  Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization

  Language:Python786

• Kaixhin/ACER

  Actor-critic with experience replay

  Language:Python25246

• fangvv/UAV-DDPG

  Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

  Language:Python46379

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python8.1k1.1k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.3k2.3k

• jwwthu/GNN-Communication-Networks

  This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

  44072

• Lei-Kun/DRL-and-graph-neural-network-for-routing-problems

  This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

  Language:Python20224

• TimingPredict/TimingPredict

  Official open source repository for "A Timing Engine Inspired Graph Neural Network Model for Pre-Routing Slack Prediction" (DAC 2022)

  Language:Python6519

• knowledgedefinednetworking/a-deep-rl-approach-for-sdn-routing-optimization

  A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

  Language:Python289103

• pfnet/pfrl

  PFRL: a PyTorch-based deep reinforcement learning library

  Language:Python1.2k157

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python64.9k11.2k

• PKU-RL/DGN

  DGN Code

  Language:Python34088

• TommyZihao/zihao_course

  同济子豪兄的公开课

  1.6k189

• baimingc/delay-aware-MARL

  Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

  Language:Python5110

• eleurent/rl-agents

  Implementations of Reinforcement Learning and Planning algorithms

  Language:Python599155

• danilonumeroso/legit

  Local Explainer for deep Graph networks by Input perturbaTion

  Language:Python1

• datamllab/awesome-game-ai

  Awesome Game AI materials of Multi-Agent Reinforcement Learning

  808102