Social influence as intrinsic motivation for multi-agent deep reinforcement learning

N Jaques, A Lazaridou, E Hughes… - International …, 2019 - proceedings.mlr.press
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …
被引用次数：478 相关文章

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

N Jaques, A Lazaridou, E Hughes, C Gulcehre… - arXiv e …, 2018 - ui.adsabs.harvard.edu
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …
[PDF] openreview.net

[PDF][PDF] Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

N Jaques, A Lazaridou, E Hughes, C Gulcehre… - openreview.net
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …
[PDF] mlr.press

[PDF][PDF] Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

N Jaques, A Lazaridou, E Hughes, C Gulcehre… - proceedings.mlr.press
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

N Jaques, E Hughes, JZ Leibo, A Lazaridou… - research.google
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

N Jaques, A Lazaridou, E Hughes, C Gulcehre… - arXiv preprint arXiv …, 2018 - arxiv.org
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …