Policy Update

Policy updates in various contexts are a central focus of current research, aiming to improve the efficiency, stability, and ethical considerations of decision-making processes. This involves developing novel algorithms for reinforcement learning, such as those incorporating deontic logic for ethical constraints or proximal updates for stabilizing mean-field games, and leveraging natural language processing to analyze policy communication and its impact. These advancements are significant for improving the performance of AI agents, enhancing the effectiveness of monetary policy, and enabling more data-driven and ethically sound policymaking across diverse domains.

Papers

October 15, 2024

Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing
Mahjabin Nahar, Sian Lee, Becky Guillen, Dongwon Lee
New Frontier State Aware Guideline Digital Computer Academic Writing Academic Conference Smartphone Microscope Policy Update

July 31, 2024

Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates
Colin Shea-Blymyer, Houssam Abbas
Complex Reasoning Verification Task Reinforcement Learning Agent Uncertain Environment Ethical Consideration Deontic Logic Policy Update

March 10, 2024

FMPAF: How Do Fed Chairs Affect the Financial Market? A Fine-grained Monetary Policy Analysis Framework on Their Language
Yayue Deng, Mohan Xu, Yao Tang
Fine Grained Human Language Financial Market Policy Update Federal Open Market Committee Central Bank

January 21, 2024

Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Reinforcement Learning Black Box Episodic Reinforcement Learning Binary Forward Exploration Policy Update Step Reinforcement Learning

April 4, 2023

Regularization of the policy updates for stabilizing Mean Field Games
Talal Algumaei, Ruben Solozabal, Reda Alami, Hakim Hacid, Merouane Debbah, Martin Takac
Deep Reinforcement Learning Proximal Policy Optimization Mean Field Cooperative Multi Agent Reinforcement Learning Mean Field Game Policy Update

February 7, 2023

Natural Language Processing for Policymaking
Zhijing Jin, Rada Mihalcea
Natural Language Processing Computational Social Science Data Driven Decision Policy Making Policy Update

January 24, 2022

State-Conditioned Adversarial Subgoal Generation
Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen
Adversarial Learning Hierarchical Reinforcement Learning Prior Policy Non Stationary Reinforcement Learning Subgoal Search Policy Update

Policy Update

Papers

Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing

Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates

FMPAF: How Do Fed Chairs Affect the Financial Market? A Fine-grained Monetary Policy Analysis Framework on Their Language

Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning

Regularization of the policy updates for stabilizing Mean Field Games

Natural Language Processing for Policymaking

State-Conditioned Adversarial Subgoal Generation