ohoneyd

ohoneyd's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.9k7511.2k7.8k

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k104811.9k

• ikostrikov/pytorch-a2c-ppo-acktr-gail

  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

  Language:Python3.6k67229829

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k4576643

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k1771689

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k4614326

• marlbenchmark/on-policy

  This is the official implementation of Multi-Agent PPO (MAPPO).

  Language:Python1.3k791291

• Khrylx/PyTorch-RL

  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

  Language:Python1.1k2636186

• google-research/seed_rl

  SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

  Language:Python7934675146

• hijkzzz/pymarl2

  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

  Language:Python6041640118

• yangyiRunning/Beijing-House

  面向北京码农同胞的从0开始的买房踩盘实录，目标只有一个: 每一分钱都花的明白(持续补充和完善ing…)

  59020143

• minqi/learning-to-communicate-pytorch

  Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

  Language:Python34316177

• PKU-RL/DGN

  DGN Code

  Language:Python33392789

• huawei-noah/xingtian

  xingtian is a componentized library for the development and verification of reinforcement learning algorithms

  Language:Python305141289

• beijixiong3510/OWM

  Code for Continual Learning of Context-dependent Processing in Neural Networks

  Language:Python17672043

• simonmeister/pysc2-rl-agents

  StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

  Language:Python13314739

• jiechuanjiang/pytorch_DGN

  The pytorch implementation of DGN on grid world and Starcraft

  Language:Python1311734

• CORE-Robotics-Lab/MAGIC

  Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21

  Language:Python736716

• seolhokim/InverseRL-Pytorch

  Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation

  Language:Python602010

• wannabeOG/MAS-PyTorch

  A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"

  Language:Python55558

• gouxiangchen/soft-Q-learning

  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!

  Language:Python50228

• lnpalmer/A2C

  PyTorch implementation of Advantage Actor-Critic (A2C)

  Language:Python43329

• hahayonghuming/VDACs

  Value-Decomposition Multi-Agent Actor-Critics

  Language:Python39153

• XuJing1022/HiT-MAC

  This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.

  Language:Python373211

• ducandu/RL-Implementation-IMPALA

  A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

  Language:Python35538

• xkianteb/dril

  Disagreement-Regularized Imitation Learning

  Language:Python303012

• RuohanW/RED

  Implementation of Random Expert Distillation

  Language:Python29227

• navid-naderi/GraphMIX

  Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning

  Language:Python26135

• Jamesellis51015/CommNet-Reproduced-for-Levers-Task

  A pytorch implementation of commNet on the levers task from "Learning Multiagent Communication with Backpropagation" paper. Reproduced from https://github.com/facebookarchive/CommNet

  Language:Python4100

• qwedaq/A3C_StarCraft2

  Language:Python1100