Combining policy gradient and Q-learning

5 November 2016

Papers citing "Combining policy gradient and Q-learning"

50 / 90 papers shown

Title
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao Chien Feng Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee 41 1 0 22 May 2024
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling Nicholas Corrado Josiah P. Hanna OffRL 20 1 0 14 Nov 2023
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL Ye Zhang Jian Sun G. Wang Zhuoxian Li Wei Chen OffRL 21 0 0 20 Aug 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 33 0 0 22 Mar 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization Brendan O'Donoghue OffRL 35 6 0 18 Feb 2023
Distillation Policy Optimization Jianfei Ma OffRL 26 1 0 01 Feb 2023
Extending Open Bandit Pipeline to Simulate Industry Challenges Bram van den Akker N. Weber Felipe Moraes Dmitri Goldenberg OffRL 18 1 0 09 Sep 2022
A Parametric Class of Approximate Gradient Updates for Policy Optimization Ramki Gummadi Saurabh Kumar Junfeng Wen Dale Schuurmans 26 0 0 17 Jun 2022
Reinforcement Learning for Navigation of Mobile Robot with LiDAR Inhwan Kim S. Nengroo Dongsoo Har 27 13 0 06 Dec 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 30 9 0 24 Nov 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 34 47 0 29 Oct 2021
Variational Bayesian Optimistic Sampling Brendan O'Donoghue Tor Lattimore 9 6 0 29 Oct 2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences Alan Chan Hugo Silva Sungsu Lim Tadashi Kozuno A. R. Mahmood Martha White 25 29 0 17 Jul 2021
A Max-Min Entropy Framework for Reinforcement Learning Seungyul Han Y. Sung 30 20 0 19 Jun 2021
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning Jie Ren Yewen Li Zihan Ding Wei Pan Hao Dong BDL MoE 21 25 0 19 Apr 2021
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control Zahra Gharaee Karl Holmquist Linbo He M. Felsberg BDL 17 4 0 08 Apr 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 47 73 0 01 Jan 2021
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 11 2 0 26 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic Yizhou Zhao Song-Chun Zhu 18 0 0 18 Nov 2020
Average-reward model-free reinforcement learning: a systematic review and literature mapping Vektor Dewanto George Dunn A. Eshragh M. Gallagher Fred Roosta 14 28 0 18 Oct 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 18 1 0 16 Sep 2020
Visualizing the Loss Landscape of Actor Critic Methods with Applications in Inventory Optimization Recep Yusuf Bekci M. Gümüş 12 4 0 04 Sep 2020
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 27 73 0 24 Jul 2020
Matrix games with bandit feedback Brendan O'Donoghue Tor Lattimore Ian Osband 8 8 0 09 Jun 2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory Yufeng Zhang Qi Cai Zhuoran Yang Yongxin Chen Zhaoran Wang OOD MLT 129 11 0 08 Jun 2020
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration Seungyul Han Y. Sung 8 24 0 02 Jun 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 22 453 0 02 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 350 0 27 Apr 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 19 152 0 21 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 38 3 0 27 Feb 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 141 46 0 08 Feb 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 22 174 0 09 Jan 2020
Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue Ian Osband Catalin Ionescu OffRL 27 48 0 03 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 38 34 0 23 Dec 2019
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning Gang Chen 25 4 0 24 Nov 2019
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation Shangtong Zhang Bo Liu Hengshuai Yao Shimon Whiteson OffRL 23 8 0 11 Nov 2019
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning Wenjie Shi Shiji Song Cheng Wu 17 36 0 07 Sep 2019
A Convergence Result for Regularized Actor-Critic Methods Wesley A Suttle Zhuoran Yang Kaipeng Zhang Ji Liu 11 0 0 13 Jul 2019
Ranking Policy Gradient Kaixiang Lin Jiayu Zhou OffRL 11 7 0 24 Jun 2019
Epistemic Risk-Sensitive Reinforcement Learning Hannes Eriksson Christos Dimitrakakis 21 29 0 14 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaipeng Zhang Zhuoran Yang Tamer Basar 27 125 0 31 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 26 51 0 05 May 2019
Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL) Eric Benhamou OffRL 16 1 0 12 Apr 2019
Generalized Off-Policy Actor-Critic Shangtong Zhang Wendelin Bohmer Shimon Whiteson OffRL CML 16 43 0 27 Mar 2019
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus Hongyu Gong S. Bhat Lingfei Wu Jinjun Xiong Wen-mei W. Hwu OffRL 34 93 0 26 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 23 17 0 11 Mar 2019
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning Gang Chen Yiming Peng 14 8 0 14 Feb 2019
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents A. Merentitis Kashif Rasul Roland Vollgraf Abdul-Saboor Sheikh Urs M. Bergmann 16 2 0 10 Feb 2019