Results 301 to 310 of about 11,486,084 (339)
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Maximum Entropy Reinforcement Learning with Diffusion Policy

International Conference on Machine Learning
The Soft Actor-Critic (SAC) algorithm with a Gaussian policy has become a mainstream implementation for realizing the Maximum Entropy Reinforcement Learning (MaxEnt RL) objective, which incorporates entropy maximization to encourage exploration and ...
Xiao-Yi Dong   +2 more
semanticscholar   +1 more source

Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods

Neural Information Processing Systems
Discrete diffusion models have recently gained significant attention due to their ability to process complex discrete structures for language modeling. However, fine-tuning these models with policy gradient methods, as is commonly done in Reinforcement ...
Oussama Zekri, Nicolas Boulle
semanticscholar   +1 more source

Policy-Transfer und Policy-Diffusion

2008
Der vorliegende Beitrag vermittelt einen Uberblick uber Mechanismen, Bedingungsfaktoren und Ergebnisse dynamischer Prozesse der Entwicklung und Verbreitung von Politik. Zwischen dem Governance-Konzept und Fragestellungen der Policy-Diffusion und des Policy-Transfers bestehen drei wesentliche Gemeinsamkeiten: Beide Diskussionsstrange befassen sich mit ...
openaire   +1 more source

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization

arXiv.org
Diffusion language models (DLMs) enable parallel, order-agnostic generation with iterative refinement, offering a flexible alternative to autoregressive large language models (LLMs).
Kevin Rojas   +6 more
semanticscholar   +1 more source

Climate Policy in the EU: International Regimes and Policy Diffusion

2007
Climate Policy in the EU: International Regimes and Policy Diffusion.
Oberthur, Sebastian, Dennis, Tänzler
openaire   +2 more sources

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Neural Information Processing Systems
Diffusion models have garnered widespread attention in Reinforcement Learning (RL) for their powerful expressiveness and multimodality. It has been verified that utilizing diffusion policies can significantly improve the performance of RL algorithms in ...
Shu-Tong Ding   +7 more
semanticscholar   +1 more source

AN INTEGRATED APPROACH TO POLICY TRANSER AND DIFFUSION

Review of Policy Research, 2002
ABSTRACTThis article reviews the existing literature on policy transfer and diffusion and offers a more integrated theory for examining the spreading of policy. Typical studies have treated each as separate, yet they are similar in many respects. For example, both involve many of the same agents and processes involved in the spreading of policy.
openaire   +1 more source

Policy diffusion in a simple Stackelberg game [PDF]

open access: possible, 2010
Strategic environmental policy games are usually based on simultaneous decision making and reach the conclusion that the policy choices are strategic substitutes. Empirical evidence, however, shows that the introduction of a regulatory instrument usually follows a consecutive pattern that is best described as policy diffusion.
Peter Michaelis, Thomas Ziesemer
openaire   +2 more sources

GLOBALIZATION AND POLICY DIFFUSION:

2021
Simmons, Beth, Elkins, Zachary
openaire   +1 more source

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