Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
Ofir NachumHaoran TangXingyu LuShixiang GuHonglak LeeSergey LevinePublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- model free
- multi agent
- hierarchical structure
- data sets
- temporal difference learning
- learning automata
- temporal difference
- markov decision processes
- optimal policy
- direct policy search
- robotic control
- robot control
- databases
- state space
- dynamic programming
- low level
- knowledge base
- control problems
- neural network
- policy search
- multi agent reinforcement learning
- hierarchical organization
- machine learning
- action space
- learning algorithm
- higher level
- reinforcement learning algorithms
- case study
- action selection
- data structure
- optimal control
- transfer learning