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rl_backdoor

Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning

rl_basecode

reinforcement learning class algorthms

rl_pursuit_evasion

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

seaadrl-pytorch

Atari Pong-only replication of Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning (AAAI 2020)

spacexrocket

Neural Network learns to land a rocket using Pytorch, Unity's MLAgents and PPO.

starcraft

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

studyhelper

学习强国 xxqg 助手

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tianshou

An elegant PyTorch deep reinforcement learning platform.

uc-berkeley-ai-pacman-project

Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

vae-experiments

Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction is work-in-progress.

vae-iw

vae_behavior_cloning

variationalcoders

Convolutional Autoencoder for compressing Atari images

visual-explanation-in-deep-reinforcement-learning

This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation, Guided Backpropagation, GradCam and Guided gradCam. It shows why the agent is performing the action. Which pixels had the biggest influence on the decision of the agent.

vq-vae_rl

Employing VQ-VAE networks to quantify transfer learning for trajectory prediction across Atari games.

worldmodelsexperiments

World Models Experiments

xiao_multiagent

Research project - real-time multi-agent pursuit a moving target

xxqg

学习强国 xxqg 无人值守自动看视频、看文章、自动答题（每日答题、每周答题、专项答题），45分/天