pkiourti / rl_backdoor
Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning
☆18Updated 4 years ago
Alternatives and similar repositories for rl_backdoor:
Users that are interested in rl_backdoor are comparing it to the libraries listed below
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆26Updated 2 weeks ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆83Updated 3 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 3 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆60Updated 3 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆119Updated 3 years ago
- ☆16Updated last year
- A new model-based algorithm for offline inverse reinforcement learning☆13Updated last year
- ☆26Updated last year
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆20Updated last year
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆29Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆25Updated 3 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆32Updated last year
- Adversarial Example Attacks on Policy Learners☆40Updated 4 years ago
- ☆20Updated 3 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆64Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆27Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- ☆119Updated 5 months ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆44Updated last month
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆68Updated last year
- LLM-Empowered State Representation for Reinforcement Learning (ICML2024 Accepted paper)☆24Updated 7 months ago
- ☆67Updated last year
- Implementations of safe reinforcement learning algorithms☆24Updated 10 months ago
- ☆9Updated 2 years ago
- The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆58Updated 2 months ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆30Updated 7 months ago
- A list of papers regarding generalization in (deep) reinforcement learning☆150Updated last year
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- This is the official implementation of ERL-Re2.☆60Updated 7 months ago