Reinforcement learning: a friendly introduction
Reinforcement Learning (RL) is a branch of machine learning (ML) that is used to train
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …
Self-generation of reward by logarithmic transformation of multiple sensor evaluations
Y Ono, K Kurashige, AABMN Hakim… - Artificial Life and …, 2023 - Springer
Although the design of the reward function in reinforcement learning is important, it is difficult
to design a system that can adapt to a variety of environments and tasks. Therefore, we …
to design a system that can adapt to a variety of environments and tasks. Therefore, we …
Entropy-Based Experience Replay in Reinforcement Learning
M Dadvar - 2020 - search.proquest.com
Reinforcement learning mediates supervised and unsupervised learning to adequately
solve learning problems where no prior experience is available to train an agent. The agent …
solve learning problems where no prior experience is available to train an agent. The agent …