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02/13/2023
Geometric Clifford Algebra Networks
We propose Geometric Clifford Algebra Networks (GCANs) that are based on...
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01/24/2023
ClimaX: A foundation model for weather and climate
Most state-of-the-art approaches for weather and climate modeling are ba...
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10/31/2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Sparse and delayed rewards pose a challenge to single agent reinforcemen...
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10/28/2022
Learning Modular Simulations for Homogeneous Systems
Complex systems are often decomposed into modular subsystems for enginee...
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09/30/2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Partial differential equations (PDEs) are central to describing complex ...
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09/22/2022
Learning to Simulate Realistic LiDARs
Simulating realistic sensors is a challenging part in data generation fo...
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09/08/2022
Clifford Neural Layers for PDE Modeling
Partial differential equations (PDEs) see widespread use in sciences and...
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03/06/2022
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) provides an efficient way for ...
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05/05/2021
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual
Model-based paradigms for decision-making and control are becoming ubiqu...
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01/12/2021
Scalable Anytime Planning for Multi-Agent MDPs
We present a scalable tree search planning algorithm for large multi-age...
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06/20/2020
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
System identification is a key step for model-based control, estimator d...
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06/19/2020
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) requires coordination to effic...
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05/27/2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
We consider the problem of dynamically allocating tasks to multiple agen...
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04/21/2020
Structured Mechanical Models for Robot Learning and Control
Model-based methods are the dominant paradigm for controlling robotic sy...
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08/02/2019
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
This paper proposes a definition of system health in the context of mult...
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03/14/2019
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Recent developments in multi-agent imitation learning have shown promisi...
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03/04/2019
Model Primitive Hierarchical Lifelong Reinforcement Learning
Learning interpretable and transferable subpolicies and performing task ...
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02/22/2019
A General Framework for Structured Learning of Mechanical Systems
Learning accurate dynamics models is necessary for optimal, compliant co...
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06/17/2018
Learning Policy Representations in Multiagent Systems
Modeling agent behavior is central to understanding the emergence of com...
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02/20/2018
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures
Deep artificial neural networks (ANNs) can represent a wide range of com...
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06/10/2014
