61 citations · 110 across the 6 of their papers we have counts for
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cs.LG2021★ 1 cited
How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy
Badr AlKhamissi, Akshay Srinivasan, Zeb-Kurth Nelson +1
Alchemy is a new meta-learning environment rich enough to contain interesting abstractions, yet simple enough to make fine-grained analysis tractable. Further, Alchemy provides an…
cs.LG2021★ 12 cited
Synthetic Returns for Long-Term Credit Assignment
David Raposo, Sam Ritter, Adam Santoro +5
Since the earliest days of reinforcement learning, the workhorse method for assigning credit to actions over time has been temporal-difference (TD) learning, which propagates credi…