An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space.
Majid MoghadamAli AlizadehEngin TekinGabriel Hugh ElkaimPublished in: CoRR (2020)
Keyphrases
- end to end
- short term
- long term
- reinforcement learning
- short term and long term
- admission control
- congestion control
- wireless ad hoc networks
- stock market
- long term memory
- internet protocol
- motion prediction
- wind speed
- medium term
- function approximation
- neural network
- short and long term
- state space
- optimal policy
- application layer
- forecasting model
- load forecasting