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: CoRR (2022)
Keyphrases
- data sets
- autonomous learning
- reinforcement learning
- action selection
- active exploration
- exploration strategy
- function approximation
- cooperative
- model based reinforcement learning
- real world data sets
- benchmark data sets
- exploration exploitation
- training data
- learning algorithm
- real world
- similarity metrics
- reinforcement learning algorithms
- exploration exploitation tradeoff
- optimal policy
- synthetic data
- evolutionary algorithm
- multi agent
- evaluation metrics
- temporal difference
- robotic systems
- learning capabilities
- markov decision processes
- transition model
- decentralized control
- robotic control
- genetic algorithm
- database