README.rst

References

Summary: This a is non-exhaustive list of references for this component.

Table of Contents

• Communication among agents in Deep RL
• Interpretation of emergent communication (among heterogeneous or homogeneous agents)
• Grounded Question Answering
• Inter-Agent Transfer Learning in RL

Communication among agents in Deep RL

2004

• Communication Complexity of Multi-Robot Systems

2016

• Communicate with Deep Multi-Agent Reinforcement Learning

2018

• Learning Attentional Communication for Multi-Agent Cooperation

2019

• Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
• TarMAC: Targeted Multi-Agent Communication

2020

• Emergent Multi-Agent Communication in the Deep Learning Era
• Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning
• Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
• Learning Individually Inferred Communication for Multi-Agent Cooperation

2021

• Learning Selective Communication for Multi-Agent Path Finding

Interpretation of emergent communication (among heterogeneous or homogeneous agents)

2021

• Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
• Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents

2022

• Disentangling Categorization in Multi-agent Emergent Communication
• Multi-Agent Incentive Communication via Decentralized Teammate Modeling

Grounded Question Answering

See Ground QA.

Inter-Agent Transfer Learning in RL

2018

• A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress

2019

• A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems