77 citations · 732 across the 55 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CL2018★ 18 cited
Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar, Lili Mou, Kira A. Selby +3
This paper addresses the problem of incremental domain adaptation (IDA) in natural language processing (NLP). We assume each domain comes one after another, and that we could only…
cs.CV2018★ 55 cited
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Vik Goel, Jameson Weng, Pascal Poupart
We present a new technique for deep reinforcement learning that automatically detects moving objects and uses the relevant information for action selection. The detection of moving…
cs.LG2018
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu, Xin Li, Pascal Poupart +1
Deep Reinforcement Learning (RL) recently emerged as one of the most competitive approaches for learning in sequential decision making problems with fully observable environments,…