Soar-RL: integrating reinforcement learning with Soar.
Shelley NasonJohn E. LairdPublished in: Cogn. Syst. Res. (2005)
Keyphrases
- reinforcement learning
- learned knowledge
- cognitive architecture
- knowledge level
- explanation based learning
- general intelligence
- learning mechanism
- function approximation
- production system
- state space
- model free
- markov decision processes
- learning capabilities
- reinforcement learning algorithms
- temporal difference
- machine learning
- learning process
- rl algorithms
- learning algorithm
- temporal difference learning
- partially observable domains
- action selection
- multi agent
- learning classifier systems
- optimal control
- optimal policy
- autonomous learning
- approximate dynamic programming
- symbolic representation
- control problems
- policy iteration
- machine learning methods
- artificial general intelligence
- continuous state
- multi agent reinforcement learning
- search control knowledge
- direct policy search