2021
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments
ICRA 2021poster
We are interested in learning models of non-stationary environments, which can be framed as a multitask learning problem. Model-free reinforcement learning algorithms can achieve good asymptotic performance in multitask learning at a cost of extensive sampling, due to their approach, which requires…