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Found 3 papers, 2 papers with code
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Advances in reinforcement learning (RL) have resulted in recent breakthroughs in the application of artificial intelligence (AI) across many different domains.
TanksWorld: A Multi-Agent Environment for AI Safety Research
In this work, we introduce the AI safety TanksWorld as an environment for AI safety research with three essential aspects: competing performance objectives, human-machine teaming, and multi-agent competition.
On the Complexity of Reconnaissance Blind Chess
This paper provides a complexity analysis for the game of reconnaissance blind chess (RBC), a recently-introduced variant of chess where each player does not know the positions of the opponent's pieces a priori but may reveal a subset of them through chosen, private sensing actions.
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