Agents
CP-SLAM: Collaborative Neural Point-based SLAM
A novel global optimization framework is also proposed to improve the system accuracy like traditional bundle adjustment.
Multi-Agent First Order Constrained Optimization in Policy Space
In the realm of multi-agent reinforcement learning (MARL), achieving high performance is crucial for a successful multi-agent system.
A Mathematical Model For Optimal Decisions In A Representative Democracy
Malik Magdon-Ismail, Lirong Xia
A typical solution isdirect democracywhich decides based on amajority vote, the so called "wisdom of the crowd."
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
Moreover, our 1B model achieves exceptional performance, surpassing GPT -3.5-Turbo and Claude-3 Haiku.
Multi-Agent Common Knowledge Reinforcement Learning
Christian Schroeder de Witt, Jakob Foerster, Gregory Farquhar, Philip Torr, Wendelin Boehmer, Shimon Whiteson
Figure 3: Gamematrices A (top) and B (bottom) [left]. Allexperimentsuse SMACsettingsforcomparability (see Samvelyanetal. (2019) and Appendix Bfordetails).
