14 citations · 54 across the 21 of their papers we have counts for
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cs.AI2019★ 3 cited
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Yat Long Lo, Sina Ghiassian
Using neural networks in the reinforcement learning (RL) framework has achieved notable successes. Yet, neural networks tend to forget what they learned in the past, especially whe…
cs.AI2019★ 1 cited
Should All Temporal Difference Learning Use Emphasis?
Xiang Gu, Sina Ghiassian, Richard S. Sutton
Emphatic Temporal Difference (ETD) learning has recently been proposed as a convergent off-policy learning method. ETD was proposed mainly to address convergence issues of conventi…