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08/12/2023
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning
Autonomous navigation in offroad environments has been extensively studi...
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12/15/2022
Emergent Behaviors in Multi-Agent Target Acquisition
Only limited studies and superficial evaluations are available on agents...
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05/11/2022
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II
Traditionally, learning from human demonstrations via direct behavior cl...
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03/17/2022
Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination
Reinforcement learning (RL) approaches can illuminate emergent behaviors...
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10/21/2021
On games and simulators as a platform for development of artificial intelligence for command and control
Games and simulators can be a valuable platform to execute complex multi...
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07/29/2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
Much work has been dedicated to the exploration of Multi-Agent Reinforce...
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09/11/2019
On Memory Mechanism in Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) extends (single-agent) reinfor...
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09/13/2018
Coordination-driven learning in multi-agent problem spaces
We discuss the role of coordination as a direct learning objective in mu...
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07/23/2018
Measuring collaborative emergent behavior in multi-agent reinforcement learning
Multi-agent reinforcement learning (RL) has important implications for t...
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07/16/2018
Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems
The historical origins of the game theoretic predator-prey pursuit probl...
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07/12/2018
