rbinzhang's starred repositories
Adversarial_Examples_Papers
A list of recent papers about adversarial learning
Tutorial4RL
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
DiffusionMTL
Code of our CVPR2024 paper - DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
safe-rl-robustness
Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
safety-gymnasium
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
ad3-action-distribution-divergence-detector
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses
Adversarial_DRL
Adversarial attacks in deep reinforcement learning
Gym-ATC-Attack-Project
Adversarial attack for DRL in ATC
StateAdvDRL
[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
swin-transformer-pytorch
Implementation of the Swin Transformer in PyTorch.
ATLA_robust_RL
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
Metropolis-Hastings-Attacker
"Generating Fluent Adversarial Examples for Natural Languages"
nlp_adversarial_examples
Implementation code for the paper "Generating Natural Language Adversarial Examples"
Automatic-Modulation-Classification
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
Automatic-Target-Classification-In-SAR-Images-Using-Convolutional-Neural-Networks
SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.
MSTAR_tensorflow
Tensorflow Project to Classify MSTAR image chips