Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning.
Patrik ReizingerMárton SzemenyeiPublished in: ICASSP (2020)
Keyphrases
- reinforcement learning
- active exploration
- action selection
- exploration strategy
- model based reinforcement learning
- function approximation
- exploration exploitation
- data driven
- machine learning
- visual attention
- temporal difference
- reinforcement learning algorithms
- focus of attention
- autonomous mental development
- autonomous learning
- data sets
- model free
- state space
- policy search
- robot control
- learning algorithm
- exploration exploitation tradeoff