James-LG / MARLon
Multi-Agent Reinforcement Learning on network-security
☆16Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MARLon
- A Simulated Optimal Intrusion Response Game☆21Updated 2 years ago
- Cyber Operations Research Gym☆63Updated 5 months ago
- TTCP CAGE Challenge 2☆46Updated 5 months ago
- A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trai…☆23Updated last year
- ☆51Updated last year
- PenGym: Pentesting Training Framework for Reinforcement Learning Agents☆22Updated last month
- The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. Thi…☆41Updated 3 months ago
- Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be de…☆33Updated 2 months ago
- TTCP CAGE Challenge 3☆34Updated 7 months ago
- An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym☆74Updated last year
- Modelling Capture-the-Flag Challenges Using Reinforcement Learning☆15Updated 2 years ago
- Deep RL agents for NASimEmu. See also https://github.com/jaromiru/NASimEmu.☆13Updated 4 months ago
- An environment for testing AI pentesting agents against a simulated network.☆169Updated 8 months ago
- ☆17Updated 2 years ago
- ☆11Updated 8 months ago
- ☆19Updated 2 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆77Updated 3 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆17Updated last week
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆20Updated last year
- Modelling SQL Injection Using Reinforcement Learning☆19Updated 3 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated last year
- ARCD Primary-Level AI Training Environment (PrimAITE)☆17Updated 11 months ago
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆23Updated 3 months ago
- ☆14Updated last year
- Baselines for Neural MMO -- new users should treat this repo as a starter project☆46Updated 3 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆69Updated last year
- ☆22Updated last month
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆18Updated 2 years ago
- Learning to Incentivize Other Learning Agents☆31Updated 2 years ago
- Implementation for mSAC methods in PyTorch☆37Updated 3 years ago