Modeling and reinforcement learning in partially observable many-agent systems.
Keyang HePrashant DoshiBikramjit BanerjeePublished in: Auton. Agents Multi Agent Syst. (2024)
Keyphrases
- partially observable
- agent systems
- reinforcement learning
- state space
- markov decision processes
- partial observability
- partially observable environments
- partially observable domains
- intelligent agents
- hidden state
- infinite horizon
- decision problems
- dynamical systems
- markov decision problems
- dynamic environments
- partial observations
- optimal policy
- agent technology
- action models
- multi agent
- multi agent systems
- reinforcement learning algorithms
- belief state
- learning algorithm
- fully observable
- reward function
- model free
- mobile agents
- dynamic programming
- planning problems
- information processing
- search space
- temporal difference
- belief space
- game theory
- partially observable markov decision process
- decision makers
- orders of magnitude