Reinforcement Learning
HIVEX: A High-Impact Environment Suite for Multi-Agent Research
Autonomous ecologies of construction: Collaborative modular robotic material eco-systems with deep multi-agent reinforcement learning
Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics
Robotic Reconfiguration with Deep Multi-Agent Reinforcement Learning
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
Multi-Agent Collaboration for Wild Fire Management Resource Distribution
Competitive Multi-Agent Collaboration for Drone Control and Package Delivery Tasks
Multi-Agent Collaboration for Wind Farm Control
