Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning.
Avinash AmballaAdvaith P.Pradip SasmalSumohana S. ChannappayyaPublished in: CoRR (2022)
Keyphrases
- real world
- reinforcement learning
- control problems
- optimal control
- control policy
- robot control
- control system
- synthetic data
- data sets
- real world environments
- neural network
- robotic control
- autonomous robots
- control method
- machine learning
- optimal policy
- wide range
- robotic systems
- control strategies
- case study
- state space
- markov decision process
- multi agent
- multi agent environments
- robot behavior
- unstructured environments
- continuous state spaces
- control policies
- discrete space
- human operators
- finite number