Agent Modeling as Auxiliary Task for Deep Reinforcement Learning.
Pablo Hernandez-LealBilal KartalMatthew E. TaylorPublished in: AIIDE (2019)
Keyphrases
- reinforcement learning
- multi agent
- multi agent systems
- multiagent systems
- action selection
- autonomous learning
- state space
- learning agents
- mobile agents
- learning capabilities
- function approximation
- machine learning
- social simulation
- multi agent reinforcement learning
- learning agent
- multiple agents
- decision theoretic
- optimal control
- intelligent agents
- decision making
- neural network
- agent model
- model free
- reward function
- software agents
- single agent
- markov decision process
- dynamic environments
- cooperative
- exploration strategy