https://jmlr.org/papers/v26/23-0345.html
Actor-Critic learning for mean-field control in continuous time
actor criticlearning formean fieldcontrolcontinuous
https://openreview.net/forum?id=Skln2A4YDB
Model-Augmented Actor-Critic: Backpropagating through Paths | OpenReview
Policy gradient through backpropagation through time using learned models and Q-functions. SOTA results in reinforcement learning benchmark environments.
actor criticmodelaugmentedpathsopenreview
https://openreview.net/forum?id=l0c1j4QvTq
Diffusion Actor-Critic with Entropy Regulator | OpenReview
Reinforcement learning (RL) has proven highly effective in addressing complex decision-making and control tasks. However, in most traditional RL algorithms,...
actor criticdiffusionentropyregulatoropenreview
https://edubirdie.com/docs/university-of-alberta/cmput-396-intermediate-machine-learnin/126408-actor-critic-method
Actor Critic Method | University of Alberta - Edubirdie
Actor Critic Method So, actor-critic method is basically an intersection of value-based methods and policy-based methods.... Read more
actor critic methoduniversity of albertaedubirdie
https://jmlr.org/papers/v24/21-1350.html
Off-Policy Actor-Critic with Emphatic Weightings
actor criticpolicyemphatic
https://openreview.net/forum?id=jEYKjPE1xYN
Symmetry-Aware Actor-Critic for 3D Molecular Design | OpenReview
Automating molecular design using deep reinforcement learning (RL) has the potential to greatly accelerate the search for novel materials. Despite recent...
actor criticsymmetryaware3dmolecular
https://arxiv.org/abs/2602.18015
[2602.18015] Flow Actor-Critic for Offline Reinforcement Learning
Abstract page for arXiv paper 2602.18015: Flow Actor-Critic for Offline Reinforcement Learning
actor critic2602flowofflinereinforcement
https://www.informit.com/articles/article.aspx?p=2995356&seqNum=7
Reinforcement Learning - The Actor-Critic Algorithm | 6.1 The Actor | InformIT
A complete look at the Actor-Critic (A2C) algorithm, used in deep reinforcement learning, which enables a learned reinforcing signal to be more informative for...
actor critic algorithmreinforcement learning6 1informit
https://deepai.org/publication/symmetry-aware-actor-critic-for-3d-molecular-design
Symmetry-Aware Actor-Critic for 3D Molecular Design | DeepAI
Nov 25, 2020 - 11/25/20 - Automating molecular design using deep reinforcement learning (RL) has the potential to greatly accelerate the search for novel ma...
actor criticsymmetryaware3dmolecular
https://sites.google.com/view/acteach/
Actor Critic with Teachers
Blog Post Arxiv Code
actor criticteachers
https://deepai.org/publication/jdrec-practical-actor-critic-framework-for-online-combinatorial-recommender-system
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System | DeepAI
Jul 27, 2022 - 07/27/22 - A combinatorial recommender (CR) system feeds a list of items to a user at a time in the result page, in which the user behavior i...
actor criticrecommender systempracticalframework
https://openreview.net/forum?id=r1VGvBcxl
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU | OpenReview
Implementation and analysis of the computational aspect of a GPU version of the Asynchronous Advantage Actor-Critic (A3C) algorithm
reinforcement learningactor criticasynchronousadvantage
https://openreview.net/forum?id=VQfSsOTrLIy&referrer=%5Bthe%20profile%20of%20Yanxun%20Xu%5D(%2Fprofile%3Fid%3D~Yanxun_Xu1)
Pessimistic Model-Based Actor-Critic for Offline Reinforcement Learning: Theory and Algorithms |...
Model-based offline reinforcement learning (RL) has achieved superior performance than model-free RL in many decision-making problems due to its sample...
actor critic
https://www.mql5.com/en/articles/12941
Neural networks made easy (Part 49): Soft Actor-Critic - MQL5 Articles
Nov 3, 2023 - We continue our discussion of reinforcement learning algorithms for solving continuous action space problems. In this article, I will present the Soft...
neural networksmade easypart 49actor critic
https://jmlr.org/papers/v26/24-1020.html
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints
actor criticreinforcement learninggenerationgeodesics
https://openreview.net/forum?id=f6I3ZehFmu
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning | OpenReview
Deep offline reinforcement learning has recently demonstrated considerable promises in leveraging offline datasets, providing high-quality models that...
actor criticreinforcement learningalignmentofflineonline
https://openreview.net/forum?id=V2WVlKJ3GV
PAC-Bayesian Soft Actor-Critic Learning | OpenReview
Actor-critic algorithms address the dual goals of reinforcement learning (RL), policy evaluation and improvement via two separate function approximators. The...
actor criticpacbayesiansoftlearning
https://deepai.org/publication/revisiting-discrete-soft-actor-critic
Revisiting Discrete Soft Actor-Critic | DeepAI
Sep 21, 2022 - 09/21/22 - We study the adaption of soft actor-critic (SAC) from continuous action space to discrete action space. We revisit vanilla SAC and...
actor criticrevisitingdiscretesoftdeepai
https://deepai.org/publication/pretraining-deep-actor-critic-reinforcement-learning-algorithms-with-expert-demonstrations
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations | DeepAI
Jan 31, 2018 - 01/31/18 - Pretraining with expert demonstrations have been found useful in speeding up the training process of deep reinforcement learning a...
actor criticreinforcement learningdeep
https://openreview.net/forum?id=ISG3l8nXrI&referrer=%5Bthe%20profile%20of%20Luca%20Grillotti%5D(%2Fprofile%3Fid%3D~Luca_Grillotti1)
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and...
A key aspect of intelligence is the ability to demonstrate a broad spectrum of behaviors for adapting to unexpected situations. Over the past decade,...
actor critic
https://www.informit.com/articles/article.aspx?p=2995356&seqNum=8
Reinforcement Learning - The Actor-Critic Algorithm | 6.1 The Actor | InformIT
A complete look at the Actor-Critic (A2C) algorithm, used in deep reinforcement learning, which enables a learned reinforcing signal to be more informative for...
actor critic algorithmreinforcement learning6 1informit
https://aclanthology.org/2022.acl-long.109/
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization - ACL...
Sanjeev Kumar Karn, Ning Liu, Hinrich Schuetze, Oladimeji Farri. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics...
multi agentactor criticradiology reportdifferentiable
https://www.informit.com/articles/article.aspx?p=2995356&seqNum=4
Reinforcement Learning - The Actor-Critic Algorithm | 6.1 The Actor | InformIT
A complete look at the Actor-Critic (A2C) algorithm, used in deep reinforcement learning, which enables a learned reinforcing signal to be more informative for...
actor critic algorithmreinforcement learning6 1informit
https://travsd.wordpress.com/
(Travalanche) – The observations of actor, author, comedian, critic, director, humorist,...
The observations of actor, author, comedian, critic, director, humorist, journalist, m.c., performance artist, playwright, producer, publicist, public speaker,...
the observationstravalanche
https://www.rferl.org/a/russian-actor-kremlin-critic-yefremov-sentenced-to-eight-years-for-deadly-car-accident/30827011.html
Russian Actor, Kremlin Critic Yefremov Sentenced To Eight Years For Deadly Car Accident
Russian actor Mikhail Yefremov, an outspoken Kremlin critic, has been sentenced to eight years in prison for killing a person while driving under the influence...
https://deepai.org/publication/simultaneous-control-and-human-feedback-in-the-training-of-a-robotic-agent-with-actor-critic-reinforcement-learning
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic...
Jun 22, 2016 - 06/22/16 - This paper contributes a preliminary report on the advantages and disadvantages of incorporating simultaneous human control and fe...
https://www.amazon.science/publications/finite-time-convergence-and-sample-complexity-of-actor-critic-multi-objective-reinforcement-learning
Finite-time convergence and sample complexity of actor-critic multi-objective reinforcement...
Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically...
sample complexity
https://arxiv.org/abs/2102.04376
[2102.04376] Adversarially Guided Actor-Critic
Abstract page for arXiv paper 2102.04376: Adversarially Guided Actor-Critic
210204376guidedactorcritic
https://openreview.net/forum?id=7joG3i2pUR
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy...
Off-policy reinforcement learning (RL) has achieved notable success in tackling many complex real-world tasks, by leveraging previously collected data for...
https://deepai.org/publication/global-optimality-and-finite-sample-analysis-of-softmax-off-policy-actor-critic-under-state-distribution-mismatch
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State...
Nov 4, 2021 - 11/04/21 - In this paper, we establish the global optimality and convergence rate of an off-policy actor critic algorithm in the tabular sett...
https://openreview.net/forum?id=9Tq4L3Go9f
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic | OpenReview
Learning high-quality $Q$-value functions plays a key role in the success of many modern off-policy deep reinforcement learning (RL) algorithms. Previous works...
https://arxiv.org/abs/2602.00606
[2602.00606] Actor-Dual-Critic Dynamics for Zero-sum and Identical-Interest Stochastic Games
Abstract page for arXiv paper 2602.00606: Actor-Dual-Critic Dynamics for Zero-sum and Identical-Interest Stochastic Games
https://openreview.net/forum?id=18rzx2PXKm
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement...
Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically...
sample complexity
https://aclanthology.org/2020.findings-emnlp.75/
Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems - ACL...
Yen-chen Wu, Bo-Hsiang Tseng, Milica Gasic. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.
https://arxiv.org/abs/2310.17178v2
[2310.17178v2] Relational Object-Centric Actor-Critic
Abstract page for arXiv paper 2310.17178v2: Relational Object-Centric Actor-Critic
2310relationalobjectcentricactor
https://arxiv.org/abs/1710.11277
[1710.11277] Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning
Abstract page for arXiv paper 1710.11277: Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning
actor critic model
https://openreview.net/forum?id=QC7tHi7m1H&referrer=%5Bthe%20profile%20of%20Lijuan%20Li%5D(%2Fprofile%3Fid%3D~Lijuan_Li2)
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic...
The remarkable progress in Large Language Models (LLMs) opens up new avenues for addressing planning and decision-making problems in Multi-Agent Systems (MAS)....
large language model