239 citations · 434 across the 32 of their papers we have counts for
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cs.LG2018★ 9 cited
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Vikas Dhiman, Shurjo Banerjee, Jeffrey M. Siskind +1
Consider mutli-goal tasks that involve static environments and dynamic goals. Examples of such tasks, such as goal-directed navigation and pick-and-place in robotics, abound. Two t…
cs.LG2016★ 6 cited
Tricks from Deep Learning
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
The deep learning community has devised a diverse set of methods to make gradient optimization, using large datasets, of large and highly complex models with deeply cascaded nonlin…