arXiv (All)
open access
Reward-Rate Congestion Games and Replicator--Dinkelbach Dynamics
Reward rate is a key performance criterion in cyber-physical and robotic systems where time, workload, and coordination costs are limiting resources. We introduce reward-rate congestion games, where agents seek to maximize reward per unit execution time. The direct reward-rate game is generally not
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AutoGym: Blueprint-First Generation of Verifiable Agent Gyms#1037275
- Theoretical Considerations of Potential-Based Reward Shaping for Multi-Agent Systems#638157
- Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution#78575
- An Automata-Based Approach to Games with $ω$-Automatic Preferences#1123020
- The Complexity of Multiplayer Colonel Blotto Games with Player-Specific Values#1078090
Record · ID 1064784
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive