58 citations · 124 across the 8 of their papers we have counts for
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cs.LG2020
Safe Reinforcement Learning through Meta-learned Instincts
Djordje Grbic, Sebastian Risi
An important goal in reinforcement learning is to create agents that can quickly adapt to new goals while avoiding situations that might cause damage to themselves or their environ…
cs.LG2019
Learning a Behavioral Repertoire from Demonstrations
Niels Justesen, Miguel Gonzalez Duque, Daniel Cabarcas Jaramillo +2
Imitation Learning (IL) is a machine learning approach to learn a policy from a dataset of demonstrations. IL can be useful to kick-start learning before applying reinforcement lea…