Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration.
Yuanfan XuJincheng YuJiahao TangJiantao QiuJian WangYuan ShenYu WangHuazhong YangPublished in: ICRA (2022)
Keyphrases
- data sets
- autonomous learning
- reinforcement learning
- active exploration
- exploration strategy
- model based reinforcement learning
- action selection
- function approximation
- benchmark data sets
- training data
- exploration exploitation tradeoff
- genetic algorithm
- markov decision processes
- cooperative
- optimal control
- real world
- exploration exploitation
- multi agent
- data streams
- database
- high dimensional data
- training set
- evaluation metrics
- robotic systems
- temporal difference
- quality metrics
- learning capabilities
- learning algorithm
- synthetic data
- software engineering