8 citations · 21 across the 5 of their papers we have counts for
4 papers · 1 filter
Local Disentanglement in Variational Auto-Encoders Using Jacobian Regularization
Travers Rhodes, Daniel D. Lee
There have been many recent advances in representation learning; however, unsupervised representation learning can still struggle with model identification issues related to rotati…
Learning to Track Dynamic Targets in Partially Known Environments
Heejin Jeong, Hamed Hassani, Manfred Morari +2
We solve active target tracking, one of the essential tasks in autonomous systems, using a deep reinforcement learning (RL) approach. In this problem, an autonomous agent is tasked…
Learning Q-network for Active Information Acquisition
Heejin Jeong, Brent Schlotfeldt, Hamed Hassani +3
In this paper, we propose a novel Reinforcement Learning approach for solving the Active Information Acquisition problem, which requires an agent to choose a sequence of actions in…
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan, Clark Zhang, Daniel D. Lee +2
In this paper, we explore using deep reinforcement learning for problems with multiple agents. Most existing methods for deep multi-agent reinforcement learning consider only a sma…