Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments

1 code implementation • 9 Jun 2023 • Jonathon Schwartz, Hanna Kurniawati, Marcus Hutter

The design of autonomous agents that can interact effectively with other agents without prior coordination is a core problem in multi-agent systems.

Autonomous Penetration Testing using Reinforcement Learning

no code implementations • 15 May 2019 • Jonathon Schwartz, Hanna Kurniawati

Further work is needed in developing scalable RL algorithms and testing these algorithms in larger and higher fidelity environments.

Q-Learning reinforcement-learning +1