Image de couverture de livre

ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Agnihotri, Akhil, Jain, Rahul, Luo, Haipeng
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

e-COP : Episodic Constrained Optimization of Policies
par: Agnihotri, Akhil, et autres
Publié: (2024)

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
par: Bai, Qinbo, et autres
Publié: (2024)

A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
par: Hong, Kihyuk, et autres
Publié: (2025)

Multi-Objective Reward and Preference Optimization: Theory and Algorithms
par: Agnihotri, Akhil
Publié: (2025)

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
par: Xu, Yang, et autres
Publié: (2025)

Best Policy Learning from Trajectory Preference Feedback
par: Agnihotri, Akhil, et autres
Publié: (2025)

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
par: Agnihotri, Akhil, et autres
Publié: (2025)

DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
par: Shrestha, Aayam, et autres
Publié: (2020)

Geometric Algorithms for Neural Combinatorial Optimization with Constraints
par: Karalias, Nikolaos, et autres
Publié: (2025)

Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach
par: Tang, Dengwang, et autres
Publié: (2023)

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
par: Ge, Luise, et autres
Publié: (2025)

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs
par: Mondal, Washim Uddin, et autres
Publié: (2024)

On-line Learning in Tree MDPs by Treating Policies as Bandit Arms
par: Shah, Anvay, et autres
Publié: (2026)

Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines
par: Qiao, Chuhan
Publié: (2026)

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
par: Ganguly, Sourav, et autres
Publié: (2025)

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance
par: Agnihotri, Rudransh, et autres
Publié: (2025)

Online Bandit Learning with Offline Preference Data for Improved RLHF
par: Agnihotri, Akhil, et autres
Publié: (2024)

Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
par: Kar, Avik, et autres
Publié: (2024)

Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
par: Bai, Qinbo, et autres
Publié: (2023)

Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition
par: Manivannan, Sanjeev, et autres
Publié: (2026)

Teaching Precommitted Agents: Model-Free Policy Evaluation and Control in Quasi-Hyperbolic Discounted MDPs
par: Eshwar, S. R.
Publié: (2025)

Average-Reward Soft Actor-Critic
par: Adamczyk, Jacob, et autres
Publié: (2025)

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
par: Yao, Yihang, et autres
Publié: (2023)

Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
par: Han, Xinchen, et autres
Publié: (2026)

WARP: On the Benefits of Weight Averaged Rewarded Policies
par: Ramé, Alexandre, et autres
Publié: (2024)

Offline Reinforcement Learning with Generative Trajectory Policies
par: Feng, Xinsong, et autres
Publié: (2025)

COOPO: Cyclic Offline-Online Policy Optimization Algorithm
par: Liu, Qisai, et autres
Publié: (2026)

No-Regret Reinforcement Learning in Smooth MDPs
par: Maran, Davide, et autres
Publié: (2024)

EVAL: EigenVector-based Average-reward Learning
par: Adamczyk, Jacob, et autres
Publié: (2025)

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
par: Kwon, Jeongyeol, et autres
Publié: (2024)

Low-Rank MDPs with Continuous Action Spaces
par: Bennett, Andrew, et autres
Publié: (2023)

Efficient Solution and Learning of Robust Factored MDPs
par: Schnitzer, Yannik, et autres
Publié: (2025)

ACPO: AI-Enabled Compiler Framework
par: Ashouri, Amir H., et autres
Publié: (2023)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
par: Dinh, My H., et autres
Publié: (2024)

Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation
par: Mridul, Mohidul Haque, et autres
Publié: (2024)

Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
par: Xu, Zaiyan, et autres
Publié: (2025)

RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models
par: Zhang, Kaichen, et autres
Publié: (2025)

When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited
par: Agrawal, Rishabh, et autres
Publié: (2026)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
par: Gao, Yunkai, et autres
Publié: (2025)

Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs
par: Wendland, Joshua, et autres
Publié: (2026)