Recently, methods for learning diverse skills to generate various behavi...
Randomized ensemble double Q-learning (REDQ) has recently achieved
state...
Meta-reinforcement learning (RL) addresses the problem of sample ineffic...
Model-based reinforcement learning (MBRL) has been applied to meta-learn...
Reinforcement Learning, a machine learning framework for training an
aut...
Options are generally learned by using an inaccurate environment model (...
Hierarchical planners that produce interpretable and appropriate plans a...