SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines.
Benoît-Marie RobagliaMarceau CoupechouxDimitrios TsilimantosApostolos DestounisPublished in: EuCNC/6G Summit (2023)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- multi agent environments
- multi agent systems
- response time
- model free
- multi agent reinforcement learning
- reinforcement learning algorithms
- state space
- reinforcement learning agents
- intelligent agents
- learning algorithm
- optimal control
- software agents
- autonomous agents
- machine learning
- cooperative
- deep learning
- long term evolution
- action selection
- temporal difference
- single agent
- learning agents
- scheduling and resource allocation
- policy search
- learning process
- application layer
- action space
- agent oriented
- learning capabilities
- dynamic programming
- computer simulation
- multiagent systems
- resource allocation