Influence-aware Memory for Deep Reinforcement Learning.
Miguel SuauElena CongedutiRolf StarreAleksander CzechowskiFrans A. OliehoekPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- model free
- memory usage
- memory space
- computational power
- limited memory
- reinforcement learning algorithms
- computing power
- dynamic programming
- state space
- low memory
- main memory
- memory requirements
- learning algorithm
- data sets
- machine learning
- personality traits
- optimal control
- stochastic approximation
- prior studies
- multi agent reinforcement learning
- robotic control
- random access
- factors influencing
- optimal policy
- supervised learning
- learning process
- search algorithm
- multi agent
- data mining