Lamperougeyxy

bert

TensorFlow code and pre-trained models for BERT

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

deeprl_network

multi-agent deep reinforcement learning for networked system control.

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamer-1

Dream to Control: Learning Behaviors by Latent Imagination

EITI-EDTI

Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)

ghostnet

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

ghostnet.pytorch

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

hierarchical-marl

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

MAVEN

Submission for MAVEN: Multi-Agent Variational Exploration

mentalRL

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

MPHRL

Model Primitive Hierarchical Reinforcement Learning

NDQ

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,

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).

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.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Reinforcement-Learning-from-Hierarchical-Critics

Reinforcement Learning from Hierarchical Critics

RL-Papers

papers about reinforcement learning

ROMA

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

StarCraft

Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

UnsupervisedAttentionMechanism

Code for our paper: "Unsupervised Attention Mechanism across Neural Network Layers".

VAE-Pytorch

vscode-rainbow-fart

一个在你编程时疯狂称赞你的 VSCode 扩展插件 | An VSCode extension that keeps giving you compliment while you are coding, it will checks the keywords of code to play suitable sounds.

ZOOpt

A python package of Zeroth-Order Optimization (ZOOpt)