Direct Behavior Specification via Constrained Reinforcement Learning.
Julien RoyRoger GirgisJoshua RomoffPierre-Luc BaconChristopher J. PalPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- high level
- function approximation
- human behavior
- constrained problems
- machine learning
- behavior patterns
- multi agent
- real robot
- reinforcement learning algorithms
- markov decision processes
- policy search
- markov decision process
- behavior analysis
- specification language
- learning problems
- data sets
- dynamic programming
- active learning
- information systems
- learning algorithm
- neural network
- databases