Structured State Space Models for In-Context Reinforcement Learning.
Chris LuYannick SchroeckerAlbert GuEmilio ParisottoJakob FoersterSatinder SinghFeryal M. P. BehbahaniPublished in: CoRR (2023)
Keyphrases
- state space
- reinforcement learning
- contextual information
- statistical models
- markov decision processes
- reinforcement learning algorithms
- optimal policy
- context sensitive
- dynamic programming
- probabilistic model
- heuristic search
- markov decision process
- real world
- markov models
- function approximation
- computational models
- context aware
- particle filter
- prior knowledge
- learning algorithm