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Article
Hierarchical multi-agent reinforcement learning for cooperative tasks with sparse rewards in continuous domain
The sparse reward problem has long been one of the most challenging topics in the application of reinforcement learning (RL), especially in complex multi-agent systems. In this paper, a hierarchical multi-agen...
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Article
Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks
Credit assignment poses a significant challenge in heterogeneous multi-agent reinforcement learning (MARL) when tackling fully cooperative tasks. Existing MARL methods assess the contribution of each agent thr...
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Article
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference
The growing development of autonomous systems is driving the application of mobile robots in crowded environments. These scenarios often require robots to satisfy multiple conflicting objectives with different...