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Found 2 papers, 1 papers with code
User-Oriented Robust Reinforcement Learning
Specifically, we define a new User-Oriented Robustness (UOR) metric for RL, which allocates different weights to the environments according to user preference and generalizes the max-min robustness metric.
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
In addition, with such modularization, the training algorithm of DeCOM separates the original constrained optimization into an unconstrained optimization on reward and a constraints satisfaction problem on costs.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
