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Found 2 papers, 1 papers with code
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
This paper proposes a framework, named Quantile Constrained RL (QCRL), to constrain the quantile of the distribution of the cumulative sum cost that is a necessary and sufficient condition to satisfy the outage constraint.
Communication in Multi-Agent Reinforcement Learning: Intention Sharing
Communication is one of the core components for learning coordinated behavior in multi-agent systems.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
