How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms.
Yuan MengYang YangSanmukh R. KuppannagariRajgopal KannanViktor K. PrasannaPublished in: HPEC (2020)
Keyphrases
- reinforcement learning
- multi agent
- heterogeneous platforms
- action selection
- artificial intelligence
- learning capabilities
- multiagent systems
- multi agent systems
- machine learning
- agent model
- learning agents
- intelligent agents
- learning agent
- markov decision process
- partially observable
- software agents
- autonomous learning
- state abstraction
- intelligent systems
- exploration strategy
- intelligent behavior
- multiple agents
- state space
- agent receives
- single agent
- bayesian networks
- reward shaping
- state action
- agent technology
- reward function
- agent architecture
- autonomous agents
- mobile agents
- dynamic environments
- distributed systems
- case based reasoning
- mobile robot
- learning algorithm