Synthesis of Hierarchical Controllers Based on Deep Reinforcement Learning Policies.
Florent DelgrangeGuy AvniAnna LukinaChristian SchillingAnn NowéGuillermo A. PérezPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- hierarchical reinforcement learning
- optimal policy
- control policies
- semi markov decision process
- policy search
- partially observable markov decision processes
- markov decision process
- state space
- function approximation
- markov decision processes
- model free
- reward function
- control policy
- markov decision problems
- learning algorithm
- continuous state
- reinforcement learning algorithms
- reinforcement learning agents
- program synthesis
- fitted q iteration
- multi agent
- dynamic programming
- deep learning
- finite state
- optimal control
- learning agent
- control system
- policy gradient methods
- decision problems
- hierarchical structure
- policy gradient
- machine learning
- state abstraction
- supervised learning
- controller synthesis
- control strategies