cpp-AIF: A multi-core C++ implementation of Active Inference for Partially Observable Markov Decision Processes.
Francesco GregorettiGiovanni PezzuloDomenico MaistoPublished in: Neurocomputing (2024)
Keyphrases
- partially observable markov decision processes
- planning under uncertainty
- finite state
- reinforcement learning
- optimal policy
- belief state
- decision problems
- dynamic programming
- belief space
- sufficient conditions
- dynamical systems
- planning problems
- probabilistic inference
- partial observability
- continuous state
- partially observable domains
- machine learning
- partially observable stochastic games
- dynamic bayesian networks
- decision theoretic
- general purpose
- state space
- multi agent
- bayesian networks
- decision making