no code implementations • 26 Jul 2023 • Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan, Yat Long Lo
The Paris Agreement, considered a significant milestone in climate negotiations, has faced challenges in effectively addressing climate change due to the unconditional nature of most Nationally Determined Contributions (NDCs).
no code implementations • 3 Jul 2023 • Yat Long Lo, Biswa Sengupta, Jakob Foerster, Michael Noukhovitch
By examining the relationship between messages sent and received, we propose to learn to communicate using contrastive learning to maximize the mutual information between messages of a given trajectory.
no code implementations • 19 Mar 2023 • Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
By enabling agents to communicate, recent cooperative multi-agent reinforcement learning (MARL) methods have demonstrated better task performance and more coordinated behavior.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 7 Mar 2022 • Yat Long Lo, Biswa Sengupta
For communication to happen successfully, a common language is required between agents to understand information communicated by one another.
no code implementations • 16 Mar 2020 • Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White
Unfortunately, the performance of deep reinforcement learning systems is sensitive to hyper-parameter settings and architecture choices.
no code implementations • 29 Oct 2019 • Yat Long Lo, Sina Ghiassian
Yet, neural networks tend to forget what they learned in the past, especially when they learn online and fully incrementally, a setting in which the weights are updated after each sample is received and the sample is then discarded.