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. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.
☆45Updated 5 months ago
Alternatives and similar repositories for cage-challenge-4:
Users that are interested in cage-challenge-4 are comparing it to the libraries listed below
- TTCP CAGE Challenge 2☆46Updated 7 months ago
- Cyber Operations Research Gym☆67Updated 7 months ago
- An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym☆75Updated last year
- ☆52Updated last year
- TTCP CAGE Challenge 3☆35Updated 9 months ago
- Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be de…☆33Updated 3 months ago
- Multi-Agent Reinforcement Learning on network-security☆18Updated 2 years ago
- CAGE Challenge 2 with bug fixes, an alternate simplified version and discussion/clarification about gameplay and using this environment.☆28Updated last month
- A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trai…☆24Updated last year
- A Simulated Optimal Intrusion Response Game☆21Updated 2 years ago
- Deep RL agents for NASimEmu. See also https://github.com/jaromiru/NASimEmu.☆13Updated 6 months ago
- Official Repository of the Entity-based Reinforcement Learning for Autonomous Cyber Defence paper.☆17Updated last month
- PenGym: Pentesting Training Framework for Reinforcement Learning Agents☆25Updated last month
- A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, …☆123Updated last week
- YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for auto…☆59Updated 7 months ago
- Team Mindrake's hierarchical RL solution to the second CybORG CAGE challenge.☆10Updated last month
- ARCD Primary-Level AI Training Environment (PrimAITE)☆17Updated last year
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆60Updated 3 years ago
- Official implementation of Neural Episodic Control with State Abstraction☆13Updated last year
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 3 years ago
- Explainable Causal Reinforcement Learning with attention☆25Updated last year
- ☆20Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 4 months ago
- ☆11Updated last year
- Programmatically Interpretable Reinforcement Learning☆19Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- ☆231Updated 11 months ago
- Gridworld for MARL experiments☆138Updated 3 years ago
- ☆16Updated last year
- Adversarial attacks on Deep Reinforcement Learning (RL)☆83Updated 3 years ago