Automated design of action advising trigger conditions for multiagent reinforcement learning: a genetic programming-based approach
T Wang, X Peng, T Wang, T Liu, D Xu - Swarm and Evolutionary …, 2024 - Elsevier
Action advising is a popular and effective approach to accelerating independent multiagent
reinforcement learning (MARL), especially for the learning systems that all the agents learn …
reinforcement learning (MARL), especially for the learning systems that all the agents learn …
A GNN-based teacher–student framework with multi-advice
Multi-agent learning involves the interaction of multiple agents with the environment to learn
an optimal policy. To enhance learning performance, a commonly used approach is the …
an optimal policy. To enhance learning performance, a commonly used approach is the …
[PDF][PDF] Swarm and Evolutionary Computation
abstract Differential Evolution (DE) is arguably one of the most powerful and versatile
evolutionary optimizers for the continuous parameter spaces in recent times. Almost 5 years …
evolutionary optimizers for the continuous parameter spaces in recent times. Almost 5 years …