275 citations · 392 across the 16 of their papers we have counts for
3 papers · 1 filter
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning
Niko A. Grupen, Michael Hanlon, Alexis Hao +2
Large-scale AI systems that combine search and learning have reached super-human levels of performance in game-playing, but have also been shown to fail in surprising ways. The bri…
Cooperative Multi-Agent Fairness and Equivariant Policies
Niko A. Grupen, Bart Selman, Daniel D. Lee
We study fairness through the lens of cooperative multi-agent learning. Our work is motivated by empirical evidence that naive maximization of team reward yields unfair outcomes fo…
Memory Augmented Control Networks
Arbaaz Khan, Clark Zhang, Nikolay Atanasov +3
Planning problems in partially observable environments cannot be solved directly with convolutional networks and require some form of memory. But, even memory networks with sophist…