Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks.
Pei XuJunge ZhangQiyue YinChao YuYaodong YangKaiqi HuangPublished in: AAAI (2023)
Keyphrases
- multi agent
- reinforcement learning
- high dimensional
- cooperative
- multi agent environments
- regularized regression
- multi agent systems
- feature space
- subspace clustering
- principal component analysis
- sparse data
- low dimensional
- neural network
- feature extraction
- average reward
- rank minimization
- reinforcement learning agents