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cs.AI2024
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis
Kee Siong Ng, Samuel Yang-Zhao, Timothy Cadogan-Cowper
The AI safety literature is full of examples of powerful AI agents that, in blindly pursuing a specific and usually narrow objective, ends up with unacceptable and even catastrophi…
cs.LG2024
Privacy Preserving Reinforcement Learning for Population Processes
Samuel Yang-Zhao, Kee Siong Ng
We consider the problem of privacy protection in Reinforcement Learning (RL) algorithms that operate over population processes, a practical but understudied setting that includes,…