Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison.
Moritz LangeNoah KrystiniakRaphael C. EngelhardtWolfgang KonenLaurenz WiskottPublished in: LOD (2) (2023)
Keyphrases
- reinforcement learning
- multi agent environments
- visual tasks
- function approximation
- transfer learning
- complex environments
- machine learning
- unstructured environments
- autonomous robots
- dynamic programming
- high efficiency
- dynamic environments
- visual information
- robotic systems
- sensory inputs
- visual representation
- visual perception
- markov decision processes
- working environment
- real world environments
- real time
- supervised learning
- state space
- low level
- computational complexity
- multi agent
- learning algorithm
- neural network