64 citations · 64 across the 1 of their papers we have counts for
3 papers
cs.AI2020
Too many cooks: Bayesian inference for coordinating multi-agent collaboration
Rose E. Wang, Sarah A. Wu, James A. Evans +3
Collaboration requires agents to coordinate their behavior on the fly, sometimes cooperating to solve a single task together and other times dividing it up into sub-tasks to work o…
cs.MA2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
Rose E. Wang, J. Chase Kew, Dennis Lee +5
Collaboration requires agents to align their goals on the fly. Underlying the human ability to align goals with other agents is their ability to predict the intentions of others an…
cs.MA2020★ 64 cited
R-MADDPG for Partially Observable Environments and Limited Communication
Rose E. Wang, Michael Everett, Jonathan P. How
There are several real-world tasks that would benefit from applying multiagent reinforcement learning (MARL) algorithms, including the coordination among self-driving cars. The rea…