research
∙
01/21/2022
Representing Long-Range Context for Graph Neural Networks with Global Attention
Graph neural networks are powerful architectures for structured datasets...
share
research
∙
06/02/2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
Despite their ubiquity in core AI fields like natural language processin...
research
∙
04/21/2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Humans have a remarkable ability to make decisions by accurately reasoni...
research
∙
04/16/2021
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
We present Pylot, a platform for autonomous vehicle (AV) research and de...
research
∙
05/31/2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Many potential applications of reinforcement learning in the real world ...
research
∙
04/18/2019