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