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Distributed Reinforcement Learning for Robot Teams: A Review
This review aims to provide an analysis of the state-of-the-art in distributed MARL for multi-robot cooperation.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
DAN: Decentralized Attention-based Neural Network for the MinMax Multiple Traveling Salesman Problem
Encouraged by the recent developments in deep reinforcement learning (dRL), this work approaches the mTSP as a cooperative task and introduces DAN, a decentralized attention-based neural method that aims at tackling this key trade-off.
