103 citations · 355 across the 24 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.MA2016★ 1 cited
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen, Miao Liu, Michael Everett +1
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios where each agent's intent (e.g. goal) is unobservable…
stat.AP2016
Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes
Taposh Banerjee, Miao Liu, Jonathan P. How
Optimal control in non-stationary Markov decision processes (MDP) is a challenging problem. The aim in such a control problem is to maximize the long-term discounted reward when th…
cs.LG2016★ 10 cited
Deep Q-Networks for Accelerating the Training of Deep Neural Networks
Jie Fu
In this paper, we propose a principled deep reinforcement learning (RL) approach that is able to accelerate the convergence rate of general deep neural networks (DNNs). With our ap…