Flow-Based Reinforcement Learning.
Dilini SamarasingheMichael BarlowErandi LakshikaPublished in: IEEE Access (2022)
Keyphrases
- reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- flow patterns
- control problems
- multi agent
- optimal policy
- markov decision processes
- model free
- learning problems
- temporal difference
- optimal control
- machine learning
- learning algorithm
- temporal difference learning
- markov decision process
- direct policy search
- robot control
- fluid flow
- action selection
- potential functions
- information flow
- dynamic programming
- case study
- decision trees