1 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Dynamic Knowledge Injection for AIXI Agents
Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter
Prior approximations of AIXI, a Bayesian optimality notion for general reinforcement learning, can only approximate AIXI's Bayesian environment model using an a-priori defined set…
A Direct Approximation of AIXI Using Logical State Abstractions
Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng
We propose a practical integration of logical state abstraction with AIXI, a Bayesian optimality notion for reinforcement learning agents, to significantly expand the model class t…