Learning from Demonstrations for Real World Reinforcement Learning.
Todd HesterMatej VeceríkOlivier PietquinMarc LanctotTom SchaulBilal PiotAndrew SendonarisGabriel Dulac-ArnoldIan OsbandJohn P. AgapiouJoel Z. LeiboAudrunas GruslysPublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- real world
- learning algorithm
- learning process
- wide range
- online learning
- learning systems
- learning problems
- robot control
- prior knowledge
- knowledge acquisition
- active exploration
- neural network
- learning agent
- action selection
- learning tasks
- state space
- decision trees
- machine learning
- data mining