Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction.
Helge SpiekerPublished in: IJCNN (2021)
Keyphrases
- agent environment
- reinforcement learning
- dynamical systems
- role playing
- state space
- function approximation
- machine learning
- multi agent
- markov decision processes
- robotic control
- learning capabilities
- linear constraints
- constraint networks
- website
- multiagent systems
- supervised learning
- dynamic programming
- evolutionary algorithm
- optimal control
- reinforcement learning algorithms
- social networks
- learning algorithm
- robot control
- markov decision process
- penalty function
- reinforcement learning methods
- genetic algorithm
- real world
- neural network