alan-turing-institute / cage-challenge-2-public

Related projects: ⓘ

• cage-challenge / cage-challenge-2
  TTCP CAGE Challenge 2
  ☆46Updated 3 months ago
• cage-challenge / cage-challenge-4
  The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. Thi…
  ☆34Updated last month
• cage-challenge / CybORG
  Cyber Operations Research Gym
  ☆59Updated 3 months ago
• davide97l / rl-policies-attacks-defenses
  Adversarial attacks on Deep Reinforcement Learning (RL)
  ☆76Updated 3 years ago
• cage-challenge / cage-challenge-1
  ☆50Updated last year
• Limmen / gym-idsgame
  An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym
  ☆70Updated last year
• Henrygwb / edge
  ☆18Updated 2 years ago
• James-LG / MARLon
  Multi-Agent Reinforcement Learning on network-security
  ☆16Updated 2 years ago
• fiezt / Stackelberg-Code
  Code for "Convergence of Learning Dynamics in Stackelberg Games"
  ☆13Updated 4 years ago
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆58Updated 3 years ago
• cage-challenge / cage-challenge-3
  TTCP CAGE Challenge 3
  ☆34Updated 5 months ago
• chenhongge / SA_DQN
  [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
  ☆31Updated 3 years ago
• jaromiru / NASimEmu
  Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be de…
  ☆31Updated 2 months ago
• asokraju / Adv-MARL
  Adversarial attacks in consensus-based multi-agent reinforcement learning
  ☆16Updated last year
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆110Updated 2 years ago
• stefanbschneider / mobile-env
  An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
  ☆97Updated 5 months ago
• 2019ChenGong / Offline_RL_Poisoner
  Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.
  ☆21Updated last month
• nuwuxian / rl_attack
  ☆26Updated last year
• john-cardiff / -cyborg-cage-2
  ☆10Updated last year
• nuwuxian / rl_adv_valuediff
  ☆12Updated last year
• Limmen / gym-optimal-intrusion-response
  A Simulated Optimal Intrusion Response Game
  ☆19Updated 2 years ago
• PKU-Alignment / Safe-Policy-Optimization
  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
  ☆321Updated 6 months ago
• cyb3rlab / PenGym
  PenGym: Pentesting Training Framework for Reinforcement Learning Agents
  ☆20Updated last month
• uoe-agents / lb-foraging
  Level-Based Foraging (LBF): A multi-agent reinforcement learning environment
  ☆38Updated this week
• fiezt / ICML-2020-Implicit-Stackelberg-Learning
  ☆11Updated 4 years ago
• TimeBreaker / Adversarial-Reinforcement-Learning-Papers
  Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
  ☆53Updated 2 years ago
• pkiourti / rl_backdoor
  Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning
  ☆14Updated 4 years ago
• Autonomous-Resilient-Cyber-Defence / PrimAITE
  ARCD Primary-Level AI Training Environment (PrimAITE)
  ☆17Updated 9 months ago
• behzadanksu / rl-attack
  Adversarial Example Attacks on Policy Learners
  ☆39Updated 4 years ago
• oxwhirl / smacv2
  ☆197Updated 7 months ago