Toward high-performance, memory-efficient, and fast reinforcement learning - Lessons from decision neuroscience.
Ben SeymourJoel Z. LeiboSu Jin AnSang Wan LeePublished in: Sci. Robotics (2019)
Keyphrases
- memory efficient
- reinforcement learning
- decision making
- external memory
- signal processing
- lessons learned
- iterative deepening
- decision makers
- function approximation
- decision problems
- cognitive science
- multiple sequence alignment
- cognitive processes
- decision process
- human brain
- optimal control
- markov decision processes
- high efficiency
- state space
- integral image
- action selection
- reinforcement learning algorithms
- learning process
- multi agent
- machine learning
- cognitive robotics
- decision theory
- dynamic programming
- artificial intelligence