Structured State Space Models for In-Context Reinforcement Learning.
Chris LuYannick SchroeckerAlbert GuEmilio ParisottoJakob N. FoersterSatinder SinghFeryal M. P. BehbahaniPublished in: NeurIPS (2023)
Keyphrases
- state space
- reinforcement learning
- particle filter
- optimal policy
- complex systems
- function approximation
- prior knowledge
- experimental data
- context aware
- reinforcement learning algorithms
- markov decision processes
- structured data
- dynamic programming
- machine learning
- model selection
- mobile robot
- statistical models
- dynamical systems
- learning process
- information retrieval