75 citations · 134 across the 19 of their papers we have counts for
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cs.LG2023★ 1 cited
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban +1
We consider the problem of curriculum design for reinforcement learning (RL) agents in contextual multi-task settings. Existing techniques on automatic curriculum design typically…
cs.LG2014★ 75 cited
Near-Optimally Teaching the Crowd to Classify
Adish Singla, Ilija Bogunovic, Gábor Bartók +2
How should we present training examples to learners to teach them classification rules? This is a natural problem when training workers for crowdsourcing labeling tasks, and is als…