Generative Memory for Lifelong Reinforcement Learning.
Aswin RaghavanJesse HostetlerSek M. ChaiPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- dynamic programming
- learning activities
- generative model
- memory requirements
- temporal difference
- computing power
- learning problems
- memory usage
- st century
- function approximation
- reinforcement learning algorithms
- markov decision processes
- unsupervised learning
- optimal control
- random access
- data driven
- supervised learning
- discriminative learning
- reinforcement learning methods
- multi agent
- past experience
- main memory
- action space
- robotic control
- associative memory
- learning scenarios
- neural network
- transfer learning
- state space
- learning environment
- data structure
- genetic algorithm