Deep Reinforcement Learning in Robotics Logistic Task Coordination.
Samuel ChenattiGabriel PreviatoGuilherme Cano LopesRafael Figueiredo PrudencioGuilherme LeiteThales OliveiraGuilherme AbreuWallace PereiraGuilherme CorreaVictor Soerensen BragaEsther ColombiniPublished in: LARS/SBR/WRE (2018)
Keyphrases
- reinforcement learning
- multi agent reinforcement learning
- multi agent
- cooperative multi agent systems
- robot control
- perception action
- artificial intelligence
- computer vision
- real robot
- logistic regression
- function approximation
- model free
- multiagent learning
- reinforcement learning algorithms
- cooperative
- state space
- machine learning
- learning algorithm
- multi agent systems
- learning agents
- learning process
- optimal policy
- autonomous navigation
- mobile robotics
- deep learning
- dynamic programming
- robotic systems
- markov decision process
- multiagent systems
- temporal difference
- function approximators
- action selection
- temporal difference learning
- neural network
- information exchange
- distributed agents
- industrial robots
- information sharing