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Found 4 papers, 0 papers with code
UAV Pathfinding in Dynamic Obstacle Avoidance with Multi-agent Reinforcement Learning
In this paper, we propose a novel centralized training with decentralized execution method based on multi-agent reinforcement learning to solve the dynamic obstacle avoidance problem online.
Model Predictive Control
Multi-agent Reinforcement Learning
+1
Model predictive control-based value estimation for efficient reinforcement learning
Reinforcement learning suffers from limitations in real practices primarily due to the number of required interactions with virtual environments.
Data-driven, multi-moment fluid modeling of Landau damping
The data-driven fluid modeling of PDEs for complex physical systems may be applied to improve fluid closure and reduce the computational cost of multi-scale modeling of global systems.
An Improved Reinforcement Learning Algorithm for Learning to Branch
Similar to offline reinforcement learning, we initially train on the demonstration data to accelerate learning massively.
