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Found 6 papers, 0 papers with code
Medical Image Segmentation via Sparse Coding Decoder
Transformers have achieved significant success in medical image segmentation, owing to its capability to capture long-range dependencies.
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
This two algorithms follow the centralized training and decentralized execution (CTDE) paradigm and could handle hybrid action space problems.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy
Multi-agent deep reinforcement learning has been applied to address a variety of complex problems with either discrete or continuous action spaces and achieved great success.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Building Decision Forest via Deep Reinforcement Learning
Ensemble learning methods whose base classifier is a decision tree usually belong to the bagging or boosting.
Cooperative Pathfinding based on Multi-agent RRT* Fixed Node
In cooperative pathfinding problems, non-conflict paths that bring several agents from their start location to their destination need to be planned.
Cooperative Pathfinding based on memory-efficient Multi-agent RRT*
In cooperative pathfinding problems, no-conflicts paths that bring several agents from their start location to their destination need to be planned.
