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01/21/2022
Representing Long-Range Context for Graph Neural Networks with Global Attention
Graph neural networks are powerful architectures for structured datasets...
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06/02/2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
Despite their ubiquity in core AI fields like natural language processin...
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04/21/2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Humans have a remarkable ability to make decisions by accurately reasoni...
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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...
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05/31/2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Many potential applications of reinforcement learning in the real world ...
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04/18/2019
