8 citations · 19 across the 7 of their papers we have counts for
7 papers
Generative Image as Action Models
Mohit Shridhar, Yat Long Lo, Stephen James
Image-generation diffusion models have been fine-tuned to unlock new capabilities such as image-editing and novel view synthesis. Can we similarly unlock image-generation models fo…
Learning Multi-Agent Communication with Contrastive Learning
Yat Long Lo, Biswa Sengupta, Jakob Foerster +1
Communication is a powerful tool for coordination in multi-agent RL. But inducing an effective, common language is a difficult challenge, particularly in the decentralized setting.…
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota +2
By enabling agents to communicate, recent cooperative multi-agent reinforcement learning (MARL) methods have demonstrated better task performance and more coordinated behavior. Mos…
Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning
Yat Long Lo, Biswa Sengupta
For communication to happen successfully, a common language is required between agents to understand information communicated by one another. Inducing the emergence of a common lan…
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo +1
Reinforcement learning systems require good representations to work well. For decades practical success in reinforcement learning was limited to small domains. Deep reinforcement l…
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Yat Long Lo, Sina Ghiassian
Using neural networks in the reinforcement learning (RL) framework has achieved notable successes. Yet, neural networks tend to forget what they learned in the past, especially whe…