Deep reinforcement learning for robotics: A survey of real-world successes

C Tang, B Abbatematteo, J Hu… - Annual Review of …, 2024 - annualreviews.org
Reinforcement learning (RL), particularly its combination with deep neural networks,
referred to as deep RL (DRL), has shown tremendous promise across a wide range of …

How to train your robot with deep reinforcement learning: lessons we have learned

J Ibarz, J Tan, C Finn, M Kalakrishnan… - … Journal of Robotics …, 2021 - journals.sagepub.com
Deep reinforcement learning (RL) has emerged as a promising approach for autonomously
acquiring complex behaviors from low-level sensor observations. Although a large portion of …

[HTML][HTML] Deep reinforcement learning in recommender systems: A survey and new perspectives

X Chen, L Yao, J McAuley, G Zhou, X Wang - Knowledge-Based Systems, 2023 - Elsevier
In light of the emergence of deep reinforcement learning (DRL) in recommender systems
research and several fruitful results in recent years, this survey aims to provide a timely and …