A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making.
Chitra SubramanianMiao LiuNaweed KhanJonathan LenchnerAporva AmarnathSarathkrishna SwaminathanRyan RiegelAlexander GrayPublished in: CoRR (2024)
Keyphrases
- multi agent
- decision making
- reinforcement learning
- cooperative
- multi agent decision making
- decision makers
- multi agent systems
- information processing
- learning agents
- action selection
- bayesian networks
- decision process
- intelligent agents
- function approximation
- multiple agents
- artificial neural networks
- neural network
- coalition formation
- conditional probabilities
- data mining
- decision support
- decision support system
- fuzzy logic
- supply chain
- learning process
- partially observable domains
- imprecise probabilities
- heterogeneous agents
- state space
- probabilistic logic
- single agent
- model free
- multiagent systems
- multi criteria
- generative model
- belief networks
- uncertain data
- rule base
- prediction accuracy
- autonomous agents