5 papers
Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
Vik Pant, Eric Yu
We present Coopetition-Gym v1, a benchmark platform for mixed-motive multi-agent reinforcement learning under strategic coopetition. The platform comprises twenty environments orga…
Computational Foundations for Strategic Coopetition: Formalizing Sequential Interaction and Reciprocity
Vik Pant, Eric Yu
Strategic coopetition in multi-stakeholder systems requires understanding how cooperation persists through time without binding contracts. This technical report extends computation…
Computational Foundations for Strategic Coopetition: Formalizing Collective Action and Loyalty
Vik Pant, Eric Yu
Mixed-motive multi-agent settings are rife with persistent free-riding because individual effort benefits all members equally, yet each member bears the full cost of their own cont…
Computational Foundations for Strategic Coopetition: Formalizing Trust and Reputation Dynamics
Vik Pant, Eric Yu
Modern socio-technical systems increasingly involve multi-stakeholder environments where actors simultaneously cooperate and compete. These coopetitive relationships exhibit dynami…
Computational Foundations for Strategic Coopetition: Formalizing Interdependence and Complementarity
Vik Pant, Eric Yu
Coopetition refers to simultaneous cooperation and competition among actors who "cooperate to grow the pie and compete to split it up." Modern socio-technical systems are character…