behzadanksu / rl-attackLinks
Adversarial Example Attacks on Policy Learners
☆40Updated 5 years ago
Alternatives and similar repositories for rl-attack
Users that are interested in rl-attack are comparing it to the libraries listed below
Sorting:
- Code for "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"☆79Updated 7 years ago
- ☆27Updated 2 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated last year
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆19Updated 5 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆135Updated 3 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆91Updated 4 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆68Updated 4 years ago
- Learning Backtracking Models, ICLR'19☆10Updated 7 years ago
- Code to train RL agents along with Adversarial distrubance agents☆66Updated 8 years ago
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago
- Modular PyTorch implementation of policy gradient methods☆25Updated 6 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- ☆26Updated 2 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆221Updated last year
- A method for training neural networks that are provably robust to adversarial attacks.☆391Updated 3 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 5 years ago
- ☆27Updated 4 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆28Updated 7 months ago
- General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems☆21Updated 5 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Updated 3 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 11 months ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆74Updated 5 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆21Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago