Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning.
Sean GillenKatie BylPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- configuration space
- multi dimensional
- machine learning
- reinforcement learning algorithms
- function approximation
- markov decision processes
- multi agent
- dynamic programming
- high levels
- learning algorithm
- dynamic environments
- optimal policy
- real time
- trajectory data
- phase space
- motion patterns
- optimal control
- learning problems
- supervised learning
- learning process
- high dimensional
- data mining
- data sets