Alternatives and similar repositories for rl_backdoor

Users that are interested in rl_backdoor are comparing it to the libraries listed below

• 2019ChenGong / Offline_RL_Poisoner
  [S&P 2024] Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets".
  ☆28Updated 8 months ago
• davide97l / rl-policies-attacks-defenses
  Adversarial attacks on Deep Reinforcement Learning (RL)
  ☆93Updated 4 years ago
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆135Updated 3 years ago
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆68Updated 4 years ago
• chenhongge / SA_DQN
  [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
  ☆34Updated 4 years ago
• nuwuxian / rl_adv_valuediff
  ☆16Updated 2 years ago
• Henrygwb / edge
  ☆21Updated 3 years ago
• nuwuxian / rl_attack
  ☆27Updated 2 years ago
• tuomaso / radial_rl_v2
  This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss​…
  ☆30Updated 3 years ago
• tuomaso / radial_rl
  Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"
  ☆33Updated last year
• asokraju / Adv-MARL
  Adversarial attacks in consensus-based multi-agent reinforcement learning
  ☆24Updated 2 years ago
• shaunyue / clare
  A new model-based algorithm for offline inverse reinforcement learning
  ☆16Updated 2 years ago
• lan-lc / adversarial_example_of_Go
  Attack AlphaZero Go agents (NeurIPS 2022)
  ☆21Updated 2 years ago
• huanzhang12 / SA_PPO
  [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
  ☆31Updated 3 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆80Updated 2 years ago
• amirhosseinzlf / STARLA
  Search-based Testing Approach of Reinforcement Learning Agent
  ☆13Updated 9 months ago
• behzadanksu / rl-attack
  Adversarial Example Attacks on Policy Learners
  ☆40Updated 5 years ago
• liushunyu / CIA
  [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
  ☆36Updated last year
• ajlangley / cpo-pytorch
  An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch
  ☆26Updated 5 years ago
• TimeBreaker / Adversarial-Reinforcement-Learning-Papers
  Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
  ☆72Updated 2 years ago
• abukharin3 / ERNIE
  Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…
  ☆26Updated last year
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆48Updated 6 years ago
• Plankson / awesome-explainable-reinforcement-learning
  A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
  ☆248Updated 6 months ago
• thu-rllab / LaRe
  Code for AAAI-25 accepted paper: Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.
  ☆18Updated 3 months ago
• ymzhang01 / focops
  Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).
  ☆29Updated 3 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated 2 years ago
• EoinKenny / Prototype-Wrapper-Network-ICLR23
  ☆11Updated 8 months ago
• nuwuxian / RL-state_mask
  ☆14Updated last year
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆28Updated 3 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 2 years ago