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Found 6 papers, 0 papers with code
Future Impact Decomposition in Request-level Recommendations
Furthermore, we show that a reward-based future decomposition strategy can better express the item-wise future impact and improve the recommendation accuracy in the long term.
MACC: Cross-Layer Multi-Agent Congestion Control with Deep Reinforcement Learning
In this paper, we explore the performance of multi-agent reinforcement learning-based cross-layer congestion control algorithms and present cooperation performance of two agents, known as MACC (Multi-agent Congestion Control).
Pursuit-evasion differential games of players with different speeds in spaces of different dimensions
We study pursuit-evasion differential games between a faster pursuer moving in 3D space and an evader moving in a plane.
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning
In this paper, the circle formation control problem is addressed for a group of cooperative underactuated fish-like robots involving unknown nonlinear dynamics and disturbances.
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning
We explore energy-based solutions for cooperative multi-agent reinforcement learning (MARL) using the idea of function factorization in centralized training with decentralized execution (CTDE).
Multi-agent Reinforcement Learning
reinforcement-learning
+3
Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish
Then four typical regression methods, including random forest algorithm, support vector regression, back propagation neural network, and multiple linear regression method are used for establishing regression models between the ALLS-measured HPVs and the relative states.
