pkiourti / rl_backdoorLinks
Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning
☆19Updated 5 years ago
Alternatives and similar repositories for rl_backdoor
Users that are interested in rl_backdoor are comparing it to the libraries listed below
Sorting:
- [S&P 2024] Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets".☆30Updated 10 months ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆139Updated 4 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆98Updated 4 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- ☆17Updated 2 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆68Updated 4 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Updated 3 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Updated 2 years ago
- ☆27Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 4 years ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆25Updated 2 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated 2 years ago
- A new model-based algorithm for offline inverse reinforcement learning☆15Updated 2 years ago
- ☆21Updated 3 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆75Updated 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 4 years ago
- Adversarial Example Attacks on Policy Learners☆40Updated 5 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆28Updated 2 years ago
- Code for AAAI-25 accepted paper: Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.☆22Updated 5 months ago
- A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges☆254Updated 9 months ago
- Search-based Testing Approach of Reinforcement Learning Agent☆13Updated 11 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆36Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning☆25Updated last year
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- Learning to Incentivize Other Learning Agents☆34Updated 3 years ago
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆19Updated 2 years ago