Learning Models of Adversarial Agent Behavior under Partial Observability.
Sean YeManisha NatarajanZixuan WuRohan R. PalejaLetian ChenMatthew C. GombolayPublished in: CoRR (2023)
Keyphrases
- learning models
- partial observability
- agent behavior
- multi agent
- reinforcement learning
- learning algorithm
- machine learning
- learning problems
- partially observable
- autonomous agents
- learning tasks
- agent based simulation
- loss function
- multi agent systems
- semi supervised learning
- intelligent agents
- human behavior
- partially observable markov decision processes
- belief state
- game theoretic
- classification models
- agent architecture
- planning problems
- conditional random fields
- machine learning algorithms
- cooperative
- state space
- multiagent systems
- learning agent
- semi supervised
- dynamic environments
- lower bound
- supervised learning
- optimal policy
- learning process
- search space