Search Results for author:
Found 2 papers, 2 papers with code
Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary Algorithms
Concretely, the most commonly used Evolutionary Algorithms are decomposed into a series of operators, which constitute the operator library of the system.
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
