Keyword

policy gradient

Description: Policy gradient is a family of reinforcement learning methods that optimize a policy by estimating gradients of expected reward with respect to its parameters.

Primary topic: Reinforcement Learning in Robotics (48%)

Wikidata ID: wiki/Q113840014

OpenAlex ID: keywords/policy-gradient

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

2017 · Finn, Chelsea, Abbeel, Pieter, et al. · arXiv (Cornell University) · 8,510

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Policy Gradient Methods for Reinforcement Learning with Function Approximation

1999 · Richard S. Sutton, David McAllester, et al. · 5,150

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

2017 · Lantao Yu, Weinan Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2,342

Self-Critical Sequence Training for Image Captioning

2017 · Steven J. Rennie, Etienne Marcheret, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,176

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High-Dimensional Continuous Control Using Generalized Advantage Estimation

2015 · Schulman, John, Moritz, Philipp, et al. · arXiv (Cornell University) · 2,013

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The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games

2022 · Chao Yu, Akash Velu, et al. · neural information processing systems · 1,336

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Deep Reinforcement Learning for Dialogue Generation

2016 · Jiwei Li, Will Monroe, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1,220

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Efficient Neural Architecture Search via Parameter Sharing

2018 · Pham, Hieu, Guan, Melody Y., et al. · arXiv (Cornell University) · 1,084

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A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

2012 · Ivo Grondman, Lucian Busoniu, et al. · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 1,042

Cooperative Multi-agent Control Using Deep Reinforcement Learning

2017 · Jayesh K. Gupta, Maxim Egorov, et al. · Lecture notes in computer science · 923

Reinforcement learning of motor skills with policy gradients

2008 · Jan Peters, Stefan Schaal · Neural Networks · 833

A Natural Policy Gradient

2001 · Sham M. Kakade · ScholarlyCommons (University of Pennsylvania) · 749

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Emergence of Locomotion Behaviours in Rich Environments

2017 · Heess, Nicolas, TB, Dhruva, et al. · arXiv (Cornell University) · 657

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Neural Combinatorial Optimization with Reinforcement Learning

2016 · Bello, Irwan, Pham, Hieu, et al. · arXiv (Cornell University) · 645

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Dual Learning for Machine Translation

2016 · Xia, Yingce, He, Di, et al. · arXiv (Cornell University) · 640

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Reinforcement Learning for Solving the Vehicle Routing Problem

2018 · Nazari, Mohammadreza, Oroojlooy, Afshin, et al. · arXiv (Cornell University) · 638

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Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting

2018 · Yen-Chun Chen, Mohit Bansal · Annual Meeting of the Association for Computational Linguistics (ACL) · 602

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Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

2018 · You, Jiaxuan, Liu, Bowen, et al. · arXiv (Cornell University) · 576

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Natural actor–critic algorithms

2009 · Shalabh Bhatnagar, Richard S. Sutton, et al. · Automatica · 562

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

2018 · Pinxin Long, Tingxiang Fanl, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 559

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Policy Gradient Methods for Robotics

2006 · Jan Peters, Stefan Schaal · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 513

Long Text Generation via Adversarial Training with Leaked Information

2018 · Jiaxian Guo, Sidi Lu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 511

Towards Diverse and Natural Image Descriptions via a Conditional GAN

2017 · Bo Dai, Sanja Fidler, et al. · IEEE International Conference on Computer Vision (ICCV) · 483

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Relative Entropy Policy Search

2010 · Jan Peters, Katharina Mulling, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 470

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

2022 · Shengyi Huang, Santiago Ontañón · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 431

Works count: 3,734

Citation count: 74,940