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