off-policy | BestHub

360 Quality & Efficiency

Apr 17, 2020 · Artificial Intelligence

Extending APEX for Real Distributed Reinforcement Learning with tf2rl

The article examines the limitations of the single‑machine APEX framework in the tf2rl reinforcement‑learning library, proposes a cross‑machine distributed architecture using middleware such as Redis, compares alternative frameworks like EasyRL, and outlines expected performance gains and future development plans.

APEXTensorFlowdistributed training

0 likes · 5 min read

Extending APEX for Real Distributed Reinforcement Learning with tf2rl

DataFunTalk

Sep 30, 2019 · Artificial Intelligence

Reinforcement Learning for Recommender Systems: Challenges, Solutions, and Key Papers

This article reviews recent advances in applying reinforcement learning to recommendation systems, explains the fundamental RL concepts, discusses the specific challenges such as large action spaces, bias, and long‑term reward modeling, and summarizes two influential YouTube papers along with practical insights and future directions.

long-term rewardoff-policyrecommender systems

0 likes · 13 min read

Reinforcement Learning for Recommender Systems: Challenges, Solutions, and Key Papers