LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning
Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu
Topics & Concepts
Reinforcement learningComputer scienceArtificial intelligenceBenchmark (surveying)OverfittingJoint (building)Machine learningConstruct (python library)Artificial neural networkEngineeringArchitectural engineeringGeographyGeodesyProgramming languageReinforcement Learning in RoboticsAutonomous Vehicle Technology and SafetyAdaptive Dynamic Programming Control