Reinforcement Learning in Situated Agents: Theoretical and Practical Solutions.
Mark D. PendrithPublished in: EWLR (1999)
Keyphrases
- practical solutions
- situated agents
- reinforcement learning
- artificial life
- function approximation
- learning algorithm
- theoretical analysis
- reinforcement learning algorithms
- database
- state space
- multi agent
- artificial intelligence
- active learning
- temporal difference learning
- genetic algorithm
- theoretical basis
- optimal control
- markov decision processes
- transfer learning
- decision trees
- swarm intelligence
- search engine
- model free
- information systems
- action space
- supervised learning
- machine learning
- robotic control
- real time