Research map / Multi-agent systems and games / Human-AI and goal-conditioned
Learning Multiagent Communication with Backpropagation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add continuous broadcast communication between agents (CommNet) vs independent controllers | lever pulling game · Lever pulling game | fraction of distinct levers pulled: 0.59 -> 0.99 (supervised), 0.59 -> 0.94 (RL) | Helped |
| add continuous communication (CommNet) vs no communication | traffic junction (hard, MLP) · Traffic junction hard | failure rate (%): 20.6 -> 2.2 | Helped |
| add continuous communication with LSTM module | traffic junction (hard) · Traffic junction hard | failure rate (%): 9.4 -> 1.6 | Helped |
| fully-connected instead of modular communication | traffic junction and combat · Traffic junction hard; Combat | failure rate (%) / win rate (%): traffic MLP 20.6->12.5 (better); combat MLP 34.2->17.7 (worse) | Mixed |
| discrete symbol communication via RL vs no communication | traffic junction and combat · Traffic easy; combat LSTM | failure rate (%) / win rate (%): easy MLP 15.8->1.1 (better); hard MLP 20.6->15.8 (better); combat MLP 34.2->29.1 (worse); combat LSTM 44.3->46.4 (better | Mixed |
| add continuous communication (CommNet) vs no communication | combat task (MLP, RNN, LSTM) · Combat task | win rate (%): MLP 34.2->44.5; RNN 37.3->44.4; LSTM 44.3->49.5 | Helped |
| add continuous communication vs no communication at larger team size and better vision | combat task variants · Combat m=3, m=10, 5x5 vision | win rate (%): m=3 29.2->51.0; m=10 30.5->45.4; 5x5 vision 60.5->73.0 | Helped |
| continuous communication (CommNet MLP) vs independent MLP on bAbI | bAbI 10K · bAbI 10K | mean error (%): 15.2 -> 7.1 | Helped |
| add local connectivity communication instead of broadcast | traffic junction hard (RNN) · Traffic junction hard 4-junction | failure rate (%): 22.5 -> 21.1 | Helped |
| reduce agent visibility to zero (communication matters more) | traffic junction · Traffic junction | success rate with zero visibility: CommNet succeeds 90% of the time with zero visibility | No clear effect |
Closest papers by meaning
- Learning Multi-Agent Communication from Graph Modeling Perspective (ICLR 2024 · similarity 0.88)
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- G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks (ICML 2025 · similarity 0.87)
- Learning Multi-Agent Communication with Contrastive Learning (ICLR 2024 · similarity 0.86)
- Expressive Multi-Agent Communication via Identity-Aware Learning (AAAI 2024 · similarity 0.86)
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