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Found 3 papers, 1 papers with code
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
In addition to the game score, used as an objective metric of the human-AI team performance, we also quantify subjective measures of the human's perceived performance, teamwork, interpretability, trust, and overall preference of AI teammate.
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning
Communication is a important factor that enables agents work cooperatively in multi-agent reinforcement learning (MARL).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
This paper proposes a definition of system health in the context of multiple agents optimizing a joint reward function.
Multi-agent Reinforcement Learning
Policy Gradient Methods
+2
