QComp LRA results

NIAID Data Ecosystem2026-05-01 收录

强化学习算法比较

长期平均奖励基准测试

数据链接：

https://zenodo.org/record/8219190 数据链接链接失效反馈

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资源简介：

It contains the benchmarks and the results of comparison between STORM, PET and MultiGain for the QComp category of Long-Run Average rewards.

创建时间：

2023-08-07

Task Scheduling in Edge-Cloud Computing: A Comparative Study of Reinforcement Learning with Heuristic Methods

计算任务调度

强化学习算法比较

This work evaluates the performance of a Q-learning-based task scheduling algorithm within an edge computing environment, using the Montage workflow as a case study. Through comprehensive simulations,

Figshare2025-01-16 更新60

Comparison of algorithm performance between SSQL and CQL in safe path planning.

强化学习算法比较

道路安全规划

Comparison of algorithm performance between SSQL and CQL in safe path planning.

Figshare2022-09-26 更新30

Comparison of RL agents.

无人机飞行

强化学习算法比较

Flight controls are experiencing a major shift with the integration of reinforcement learning (RL). Recent studies have demonstrated the potential of RL to deliver robust and precise control across di

Figshare2025-10-09 更新10

Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.

强化学习算法比较

模拟环境性能优化

Reward trajectories for: a. Multi-output Tributary channel, b. Circuitous channel, c. Vascular channels with Dreamer V3 (blue) outperforming the hyperparameter-tuned state-of-the-

DataCite Commons2025-06-01 更新50

Hyperparameters for all agents.

无人机飞行

强化学习算法比较

Figshare2025-10-09 更新20

QComp LRA results

资源简介：

相关数据集