Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge.
Gabriel HartmannZvi ShillerAmos AzariaPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- optimal control
- prior knowledge
- control policy
- control problems
- dynamic programming
- control system
- control strategy
- state space
- stochastic control
- optimal solution
- optical flow
- worst case
- data acquisition
- closed form
- domain knowledge
- control policies
- adaptive control
- learning algorithm
- real time
- multi agent reinforcement learning
- approximate dynamic programming
- data sets
- deep learning
- robot control
- temporal difference
- action selection
- long run
- fuzzy controller
- control method
- objective function
- function approximation
- multi agent
- prior information