18157168. WARM UP TABLE FOR FAST REINFORCEMENT LEARNING MODEL TRAINING simplified abstract (Dell Products L.P.)
Contents
WARM UP TABLE FOR FAST REINFORCEMENT LEARNING MODEL TRAINING
Organization Name
Inventor(s)
Eduardo Vera Sousa of Niterói (BR)
João Victor Pinto of Rio de Janeiro (BR)
Julia Drummond Noce of Rio de Janeiro (BR)
[[:Category:Micael Veríssimo De Ara�jo of Rio de Janeiro (BR)|Micael Veríssimo De Ara�jo of Rio de Janeiro (BR)]][[Category:Micael Veríssimo De Ara�jo of Rio de Janeiro (BR)]]
Yanexis Pupo Toledo of Rio de Janeiro (BR)
WARM UP TABLE FOR FAST REINFORCEMENT LEARNING MODEL TRAINING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18157168 titled 'WARM UP TABLE FOR FAST REINFORCEMENT LEARNING MODEL TRAINING
Simplified Explanation: The patent application describes the use of warm up tables in training reinforcement learning models to determine rewards more quickly without waiting for a workload to finish executing.
Key Features and Innovation:
- Warm up tables with probability distributions of relevant metrics are generated for training reinforcement learning models.
- Rewards can be determined without waiting for a workload to finish executing.
- Averages and standard deviations of metrics are considered for different workload instance-device associations.
- Exploration/exploitation trade-off in training reinforcement learning models can be compensated for.
Potential Applications: The technology can be applied in various fields such as robotics, autonomous vehicles, and game playing algorithms.
Problems Solved: The technology addresses the challenge of waiting for a workload to finish executing to determine rewards in training reinforcement learning models.
Benefits:
- Shortens training times for reinforcement learning models.
- Helps in compensating for the exploration/exploitation trade-off.
- Increases efficiency in training processes.
Commercial Applications: Potential commercial applications include developing more efficient and faster learning algorithms for various industries such as healthcare, finance, and manufacturing.
Prior Art: Readers can start searching for prior art related to warm up tables in reinforcement learning models in academic journals and patent databases.
Frequently Updated Research: Stay updated on research related to reinforcement learning models and warm up tables in academic conferences and publications.
Questions about Warm Up Tables in Reinforcement Learning Models: 1. How do warm up tables improve the efficiency of training reinforcement learning models? 2. What are the potential challenges in implementing warm up tables in different industries?
Original Abstract Submitted
Warm up or look up tables are generated for training reinforcement learning models. Rather than wait for a metric, such as execution times, that are required to determine a reward, previously generated warm up tables that include a probability distribution of the metric are used such that the reward can be determined without waiting for a workload to finish executing. The ability to determine the reward more quickly can shorten training times and help compensate for the exploration/exploitation trade-off experienced in training reinforcement learning models. The warm up table considers averages of a relevant metric and standard deviation of different workload instance-device associations such that the metric can be sampled from the probability distribution.
