model-based RL | BestHub

Alimama Tech

Jan 8, 2025 · Artificial Intelligence

Model-Based Reinforcement Learning Auto‑Bidding Algorithms for Online Advertising

The paper introduces a model‑based reinforcement‑learning auto‑bidding framework that learns a neural‑network environment model from real logs, generates confidence‑aware virtual data fused with real data, and employs the COMBO+MICRO stabilizer and a Lagrange‑dual method for ROI‑constrained bidding, delivering up to 6.8 % higher consumption, 5 % GMV growth and 3.7 % ROI improvement on Alibaba’s platform.

auto-biddingbudget constrained biddingmodel-based RL

0 likes · 22 min read

Model-Based Reinforcement Learning Auto‑Bidding Algorithms for Online Advertising

DataFunSummit

Jul 8, 2024 · Artificial Intelligence

World Models and Causal Inference in Reinforcement Learning: A Comprehensive Overview

This article reviews the role of world (mental) models and causal inference in reinforcement learning, covering their theoretical foundations, model‑based RL frameworks such as Dyna, sample‑efficiency challenges, causal structure learning, distribution correction, dynamics‑reward modeling, and experimental results that demonstrate performance gains across multiple tasks.

causal inferencemodel-based RLreinforcement learning

0 likes · 21 min read

World Models and Causal Inference in Reinforcement Learning: A Comprehensive Overview

DataFunTalk

Jan 25, 2024 · Artificial Intelligence

World Models, Reinforcement Learning, and Causal Inference: A Comprehensive Overview

This article presents a detailed overview of world models and their role in reinforcement learning, explains how causal inference can enhance model-based RL, discusses sample efficiency challenges, and shares experimental findings and practical insights from recent research and industry applications.

AIcausal inferencemachine learning

0 likes · 22 min read

World Models, Reinforcement Learning, and Causal Inference: A Comprehensive Overview

DataFunTalk

Apr 17, 2023 · Artificial Intelligence

Speculation: GPT-5 May Adopt Model‑Based Deep Reinforcement Learning for Unlimited Self‑Improvement

The article argues that the next generation GPT is likely to employ model‑based deep reinforcement learning, turning the model into both a policy and a world model, which could enable rapid, data‑efficient self‑enhancement but also raise serious safety and societal risks.

AI safetyGPT-5deep reinforcement learning

0 likes · 4 min read

Speculation: GPT-5 May Adopt Model‑Based Deep Reinforcement Learning for Unlimited Self‑Improvement