Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents.
Neelabh PaulVaibhav TasgaonkarRahee WalambeKetan KotechaPublished in: Robotics (2022)
Keyphrases
- decision making
- multi agent
- reinforcement learning
- action selection
- multi agent systems
- mobile robot
- sequential decision making
- multiagent systems
- bounded rationality
- robot control
- network topologies
- state space
- learning agents
- intelligent agents
- decision process
- machine learning
- reinforcement learning agents
- decision makers
- data mining
- model free
- real robot
- learning algorithm
- learning agent
- industrial applications
- cooperative
- multi agent environments
- network structure
- robotic agents
- exchange information
- reasoning and decision making
- multiple robots
- single agent
- multi agent decision making
- wireless sensor networks
- multiple agents
- human robot interaction
- humanoid robot
- multi robot
- function approximation
- software agents
- mobile agents
- distributed control
- supply chain
- agent receives
- robocup soccer
- reward signal
- vision system
- generative model
- multiagent reinforcement learning
- optimal policy
- evolutionary learning
- temporal difference
- partial observability
- human users
- autonomous robots
- complex environments
- learning capabilities