KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty.
Philipp BeckerNiklas FreymuthGerhard NeumannPublished in: CoRR (2024)
Keyphrases
- state space
- probabilistic model
- reinforcement learning
- uncertain data
- reinforcement learning algorithms
- markov decision processes
- independence assumption
- optimal policy
- complex systems
- dynamical systems
- conditional probabilities
- handling uncertainty
- continuous state spaces
- probabilistic logic
- expected utility
- model free
- statistical models
- heuristic search
- parameter estimation
- generative model
- prior knowledge
- search space