60 citations · 91 across the 4 of their papers we have counts for
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cs.LG2015★ 13 cited
Value function approximation via low-rank models
Hao Yi Ong
We propose a novel value function approximation technique for Markov decision processes. We consider the problem of compactly representing the state-action value function using a l…
cs.LG2015★ 60 cited
Distributed Deep Q-Learning
Hao Yi Ong, Kevin Chavez, Augustus Hong
We propose a distributed deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is based on…