64 citations · 75 across the 3 of their papers we have counts for
4 papers
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma, Rose Wang, Li Fei-Fei +2
Modern multi-agent reinforcement learning frameworks rely on centralized training and reward shaping to perform well. However, centralized training and dense rewards are not readil…
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…
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…
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…