John Griffith

Unmanned surface vehicles: An overview of developments and challenges

Watson: Beyond Jeopardy!

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects

UIMA: an architectural approach to unstructured information processing in the corporate research environment

Adaptive stress testing of airborne collision avoidance systems

Survey on Scenario-Based Safety Assessment of Automated Vehicles

Qanda and the Catalyst Architecture

Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments

Airspace Encounter Models for Estimating Collision Risk

Electro-Optical System Analysis for Sense and Avoid