Sample Efficient Actor-Critic with Experience Replay

3 November 2016

Papers citing "Sample Efficient Actor-Critic with Experience Replay"

50 / 136 papers shown

Title
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 47 16 0 28 Jan 2025
SAPG: Split and Aggregate Policy Gradients Jayesh Singla Ananye Agarwal Deepak Pathak OffRL OnRL 42 3 0 29 Jul 2024
Mimicry and the Emergence of Cooperative Communication Dylan R. Cope Peter McBurney 35 0 0 26 May 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk Dohyeong Kim Songhwai Oh OffRL 29 19 0 01 Dec 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 33 3 0 02 Oct 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim SungSoo Ahn Jinkyoo Park OffRL 44 7 0 02 Jun 2023
VA-learning as a more efficient alternative to Q-learning Yunhao Tang Rémi Munos Mark Rowland Michal Valko OffRL 21 6 0 29 May 2023
Utilizing Reinforcement Learning for de novo Drug Design Hampus Gummesson Svensson C. Tyrchan Ola Engkvist M. Chehreghani 43 17 0 30 Mar 2023
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning Brett Daley Martha White Chris Amato Marlos C. Machado OffRL 25 3 0 26 Jan 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles Zhanteng Xie P. Dames 46 61 0 16 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework Zongwei Liu Yonghong Song Yuanlin Zhang OffRL 37 2 0 10 Jan 2023
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees Hsin-En Su Yen-Ju Chen Ping-Chun Hsieh Xi Liu OffRL 28 0 0 10 Dec 2022
Configurable Agent With Reward As Input: A Play-Style Continuum Generation Pierre Le Pelletier de Woillemont Rémi Labory Vincent Corruble 30 10 0 29 Nov 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 39 6 0 22 Oct 2022
Time-Varying Propensity Score to Bridge the Gap between the Past and Present Rasool Fakoor Jonas W. Mueller Zachary Chase Lipton Pratik Chaudhari Alexander J. Smola OOD AI4TS 34 3 0 04 Oct 2022
Reinforcement Learning Algorithms: An Overview and Classification Fadi AlMahamid Katarina Grolinger 21 40 0 29 Sep 2022
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States Francesco Faccio Aditya A. Ramesh Vincent Herrmann J. Harb Jürgen Schmidhuber OffRL 44 8 0 04 Jul 2022
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 32 2 0 28 Jun 2022
Analysis of Stochastic Processes through Replay Buffers Shirli Di-Castro Shashua Shie Mannor Dotan Di-Castro 36 6 0 26 Jun 2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris Thomas D. Barrett Arnu Pretorius 24 4 0 14 Jun 2022
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure Xing Chen Dongcui Diao Hechang Chen Hengshuai Yao Haiyin Piao Zhixiao Sun Zhiwei Yang Randy Goebel Bei Jiang Yi-Ju Chang OffRL 43 8 0 20 May 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks C. Capone P. Paolucci CLL 31 7 0 20 May 2022
Learning to Constrain Policy Optimization with Virtual Trust Region Hung Le Thommen Karimpanal George Majid Abdolshah D. Nguyen Kien Do Sunil R. Gupta Svetha Venkatesh 36 3 0 20 Apr 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri Petros Koumoutsakos CLL OffRL 21 7 0 24 Mar 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 23 3 0 24 Feb 2022
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning Chenxiao Yu A. Rosendo 29 15 0 24 Feb 2022
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms Romain Laroche Rémi Tachet des Combes 48 2 0 15 Feb 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 18 0 0 14 Feb 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles Suleman Qamar Dr. Saddam Hussain Khan Muhammad Arif Arshad Maryam Qamar Asifullah Khan 29 16 0 13 Feb 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control Samuel Pfrommer Tanmay Gautam Alec Zhou Somayeh Sojoudi 21 24 0 27 Dec 2021
Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions Brett Daley Chris Amato OffRL 23 1 0 23 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 29 168 0 08 Dec 2021
Replay For Safety Liran Szlak Ohad Shamir OffRL 16 0 0 08 Dec 2021
Convergence Results For Q-Learning With Experience Replay Liran Szlak Ohad Shamir OffRL 31 5 0 08 Dec 2021
Learning Emergent Random Access Protocol for LEO Satellite Networks Ju-Hyung Lee Hyowoon Seo Jihong Park M. Bennis Young-Chai Ko 30 17 0 03 Dec 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 32 9 0 24 Nov 2021
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch Shangtong Zhang Rémi Tachet des Combes Romain Laroche 35 10 0 04 Nov 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 20 12 0 03 Nov 2021
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay Dogan C. Cicek Enes Duran Baturay Saglam Furkan B. Mutlu Suleyman Serdar Kozat OffRL 33 11 0 02 Nov 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 42 47 0 29 Oct 2021
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm Raghuram Bharadwaj Diddigi Prateek Jain P. J S. Bhatnagar CML OffRL 19 3 0 19 Oct 2021
Variance Reduction based Experience Replay for Policy Optimization Hua Zheng Wei Xie M. Feng OffRL 41 2 0 17 Oct 2021
Improving the sample-efficiency of neural architecture search with reinforcement learning A. Nagy Ábel Boros 33 3 0 13 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Adaptive control of a mechatronic system using constrained residual reinforcement learning Tom Staessens Tom Lefebvre Guillaume Crevecoeur 22 16 0 06 Oct 2021
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates Romain Laroche Rémi Tachet des Combes 46 8 0 29 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 19 30 0 24 Sep 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 35 7 0 16 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 27 3 0 10 Aug 2021