behzadanksu / rl-attack
Adversarial Example Attacks on Policy Learners
☆40Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for rl-attack
- ☆26Updated last year
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆116Updated 3 years ago
- Code for "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"☆78Updated 7 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆59Updated 3 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆32Updated last year
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆33Updated 3 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆77Updated 3 years ago
- ☆26Updated last year
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆40Updated 5 years ago
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆17Updated 4 years ago
- ☆26Updated 4 years ago
- Learning Backtracking Models, ICLR'19☆10Updated 6 years ago
- Code to train RL agents along with Adversarial distrubance agents☆63Updated 7 years ago
- ☆14Updated last year
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆23Updated 3 months ago
- Safe Reinforcement Learning algorithms☆71Updated 2 years ago
- General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems☆20Updated 4 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 5 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆24Updated last year
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆28Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 5 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆93Updated 3 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆153Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Code for human intervention reinforcement learning☆33Updated 6 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆53Updated 4 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 4 years ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆20Updated last year