4 papers
Aligning LLM+PDDL Symbolic Plans with Human Objective Specifications through Evolutionary Algorithm Guidance
Owen Burns, Dana Hughes, Katia Sycara
Automated planning using a symbolic planning language, such as PDDL, is a general approach to producing optimal plans to achieve a stated goal. However, creating suitable machine u…
Voxel-Aggregated Feature Synthesis: Efficient Dense Mapping for Simulated 3D Reasoning
Owen Burns, Rizwan Qureshi
We address the issue of the exploding computational requirements of recent State-of-the-art (SOTA) open set multimodel 3D mapping (dense 3D mapping) algorithms and present Voxel-Ag…
OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systems
Owen Burns, Hossein Maghsoumi, Yaser Fallah +1
Cooperative driving, enabled by communication between automated vehicle systems, promises significant benefits to fuel efficiency, road capacity, and safety over single-vehicle dri…
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Ying Ma, Owen Burns, Mingqiu Wang +6
Reinforcement learning (RL) is an effective method of finding reasoning pathways in incomplete knowledge graphs (KGs). To overcome the challenges of a large action space, a self-su…