Limmen / gym-optimal-intrusion-responseLinks
A Simulated Optimal Intrusion Response Game
☆21Updated 3 years ago
Alternatives and similar repositories for gym-optimal-intrusion-response
Users that are interested in gym-optimal-intrusion-response are comparing it to the libraries listed below
Sorting:
- An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym☆80Updated 4 months ago
- Multi-Agent Reinforcement Learning on network-security☆19Updated 3 years ago
- TTCP CAGE Challenge 2☆48Updated last year
- Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be de…☆38Updated 9 months ago
- ☆54Updated 2 years ago
- Cyber Operations Research Gym☆83Updated last year
- PenGym: Pentesting Training Framework for Reinforcement Learning Agents☆35Updated 6 months ago
- Modelling Capture-the-Flag Challenges Using Reinforcement Learning☆15Updated 2 years ago
- A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trai…☆27Updated 2 months ago
- A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, …☆127Updated 3 weeks ago
- TTCP CAGE Challenge 3☆36Updated last year
- Deep RL agents for NASimEmu. See also https://github.com/jaromiru/NASimEmu.☆14Updated 11 months ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆90Updated 4 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆66Updated 4 years ago
- The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. Thi…☆55Updated 2 months ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆23Updated 2 years ago
- YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for auto…☆64Updated last year
- An environment for testing AI pentesting agents against a simulated network.☆189Updated last year
- ☆19Updated 3 years ago
- ☆16Updated 2 years ago
- ☆11Updated 2 years ago
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆19Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- ☆9Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆95Updated 2 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆21Updated 3 weeks ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- Adversarial Example Attacks on Policy Learners☆40Updated 4 years ago