8 citations · 38 across the 20 of their papers we have counts for
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cs.LG2020★ 8 cited
Curriculum in Gradient-Based Meta-Reinforcement Learning
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy +2
Gradient-based meta-learners such as Model-Agnostic Meta-Learning (MAML) have shown strong few-shot performance in supervised and reinforcement learning settings. However, specific…
cs.LG2020★ 5 cited
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo +1
Goal-directed Reinforcement Learning (RL) traditionally considers an agent interacting with an environment, prescribing a real-valued reward to an agent proportional to the complet…