Transparency and Explanation in Deep Reinforcement Learning Neural Networks.
Rahul IyerYuezhang LiHuao LiMichael LewisRamitha SundarKatia P. SycaraPublished in: AIES (2018)
Keyphrases
- neural network
- reinforcement learning
- function approximators
- function approximation
- reinforcement learning algorithms
- pattern recognition
- artificial neural networks
- state space
- learning capabilities
- machine learning
- causal reasoning
- back propagation
- optimal policy
- learning algorithm
- markov decision processes
- genetic algorithm
- neural nets
- model free
- learning classifier systems
- robotic control
- generating explanations
- temporal difference
- multi layer
- neural network model
- transfer learning
- learning process
- expert systems
- network architecture
- action selection
- associative memory
- cellular neural networks
- multi agent reinforcement learning
- policy search
- training data
- data sets