CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of
Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The fundamental goal of …
Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The fundamental goal of …
Multi-agent incentive communication via decentralized teammate modeling
Effective communication can improve coordination in cooperative multi-agent reinforcement
learning (MARL). One popular communication scheme is exchanging agents' local …
learning (MARL). One popular communication scheme is exchanging agents' local …
A survey of progress on cooperative multi-agent reinforcement learning in open environment
ATA-MAOPT: Multi-Agent Online Policy Transfer using Attention Mechanism with Time Abstraction
C Wang, X Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
Multi-agent deep reinforcement learning inherits one of the shortcomings of reinforcement
learning, which is that a very large number of experimental episodes need to be performed …
learning, which is that a very large number of experimental episodes need to be performed …
Adaptive Curriculum Learning: Optimizing Reinforcement Learning through Dynamic Task Sequencing
Curriculum learning in reinforcement learning utilizes a strategy that sequences simpler
tasks in order to optimize the learning process for more complex problems. Typically …
tasks in order to optimize the learning process for more complex problems. Typically …
[PDF][PDF] Fast Teammate Adaptation in the Presence of Sudden Policy Change (Supplementary Material)
Z Zhang, L Yuan, L Li, K Xue, C Jia, C Guan, C Qian… - proceedings.mlr.press
Chinese restaurant process (CRP)[Blei and Frazier, 2010] is a discrete-time stochastic
process that defines a prior distribution over the cluster structures, which can be described …
process that defines a prior distribution over the cluster structures, which can be described …