research
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02/11/2021
Sufficiently Accurate Model Learning for Planning
Data driven models of dynamical systems help planners and controllers to...
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02/19/2019
Learning Task Agnostic Sufficiently Accurate Models
For complex real-world systems, designing controllers are a difficult ta...
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07/21/2018
Learning Optimal Resource Allocations in Wireless Systems
This paper considers the design of optimal resource allocation policies ...
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06/06/2018
Learning Implicit Sampling Distributions for Motion Planning
Sampling-based motion planners have experienced much success due to thei...
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05/22/2018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
In this paper, we explore using deep reinforcement learning for problems...
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09/17/2017
