most citedComplementary Meta-Reinforcement Learning for Fault-Adaptive Control

10 citations · 10 across the 6 of their papers we have counts for

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cs.LG2020

Performance-Weighed Policy Sampling for Meta-Reinforcement Learning

Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas

This paper discusses an Enhanced Model-Agnostic Meta-Learning (E-MAML) algorithm that generates fast convergence of the policy function from a small number of training examples whe…

cs.LG2020★ 10 cited

Complementary Meta-Reinforcement Learning for Fault-Adaptive Control

Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas

Faults are endemic to all systems. Adaptive fault-tolerant control maintains degraded performance when faults occur as opposed to unsafe conditions or catastrophic events. In syste…