Agents
Automated Dynamic Mechanism Design
For environments with large time horizons, we show that the principal's optimal
Automated Dynamic Mechanism Design
For environments with large time horizons, we show that the principal's optimal
Appendix for Multiagent Q-learning with Sub-Team Coordination
With proper prior knowledge of a task, we can choose a suitable coordination level.
The Birds Flocking Back to the Fresh Kills Dump
One humid afternoon in July, José Ramírez-Garofalo drove his large Toyota truck through the lush new hills, valleys, and meadows of Freshkills Park, a twenty-two-hundred-acre green space that the city is constructing on Staten Island. Ramírez-Garofalo, a young man with dark hair, large forearms, and the beginnings of a goatee, drove and talked fast. "It's an impermeable geotextile membrane," he said, referring to the thick plastic that was used, starting in the mid-nineties, to cap the four giant trash mounds of the old Fresh Kills landfill. "On top there is playground soil." The process of capping and terraforming the four mounds that once made up the country's largest dump is complete, but the park won't be fully open until at least 2036.
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Specifically, at each iteration, both the designer and the agents only move one step.
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Specifically, at each iteration, both the designer and the agents only move one step.
Supplementary Material for GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
If we interpret the kernel as a form of similarity measure, then this metric makes intuitive sense.
Appendix A A Stochastic Markov Model of a 2 Server Load Balancing Problem
Similar to the proof of Proposition 12, given the stability constraint in Eq. Eq. (4), we have C 0, l Theorem 14. Multi-agent load balancing is MPG with the VBF Solid and dashed arrows represent deterministic and non-deterministic procedures respectively. Real-world network applications can be CPU-bound or IO-bound [47, 48]. The simulator allows configuring applications that require multi-stage processes switching between CPU/IO queues (Figure 1b). Two different processing models are used for CPU and IO queues, respectively.
