Reinforcement learning and counterfactual reasoning explain adaptive behavior in a changing environment.
Yunfeng ZhangJaehyon PaikPeter PirolliPublished in: CogSci (2014)
Keyphrases
- changing environment
- adaptive behavior
- reinforcement learning
- modular robots
- dynamic environments
- logical framework
- causal reasoning
- autonomous agents
- function approximation
- learning algorithm
- optimal policy
- reinforcement learning algorithms
- markov decision processes
- reasoning tasks
- automated reasoning
- model free
- distributed systems
- state space
- multi agent
- knowledge base
- machine learning
- real time
- reasoning process