Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

Papers citing "Deep Reinforcement Learning with Double Q-learning"

50 / 69 papers shown

Title
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning Lynn Cherif Flemming Kondrup David Venuto Ankit Anand Doina Precup Khimya Khetarpal LM&Ro 105 0 0 24 Apr 2025
Deep Reinforcement Learning Algorithms for Option Hedging Andrei Neagu Frédéric Godin Leila Kosseim 45 0 0 07 Apr 2025
A Generalist Hanabi Agent Arjun Vaithilingam Sudhakar Hadi Nekoei Mathieu Reymond Miao Liu Janarthanan Rajendran Sarath Chandar 367 0 0 17 Mar 2025
HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion Sixu Lin Guanren Qiao Yunxin Tai Ang Li Kui Jia Guiliang Liu 55 1 0 02 Mar 2025
Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI Swati Kar Soumyabrata Dey Mahesh K Banavar Shahnewaz Karim Sakib 78 0 0 19 Feb 2025
Shield Synthesis for LTL Modulo Theories Andoni Rodríguez Guy Amir Davide Corsi César Sánchez Guy Katz 84 7 0 17 Feb 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 336 0 0 17 Feb 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J. Brahmanage Jiajing Ling Akshat Kumar 82 0 0 08 Feb 2025
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 101 1 0 06 Feb 2025
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning Minxiao Chen Haitao Yuan Nan Jiang Zhihan Zheng Sai Wu Ao Zhou Shuaiqiang Wang 111 0 0 05 Feb 2025
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network Jijia Liu Feng Gao Q. Liao Chao Yu Yu Wang OffRL 96 0 0 01 Feb 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning Zhihao Zhang Ekim Yurtsever Keith A. Redmill 46 0 0 28 Jan 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 120 16 0 28 Jan 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 112 1 0 28 Jan 2025
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024 Nikolaus Holzer Keyi Wang Kairong Xiao Xiao-Yang Liu Yanglet AIFin 49 1 0 18 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 124 2 0 12 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots Han Zhang Xiaoman Pan Hongwei Wang Kaixin Ma Wenhao Yu Dong Yu LLMAG 83 4 0 03 Jan 2025
Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks Alireza Alizadeh Byungju Lim Mai Vu 46 5 0 31 Dec 2024
Adaptive Reward Design for Reinforcement Learning Minjae Kwon Ingy Elsayed-Aly Lu Feng 86 2 0 14 Dec 2024
JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Feiran You Hongyang Du Kaibin Huang Abbas Jamalipour 106 2 0 27 Nov 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control Shiron Thalagala Pak Kin Wong Xiaozheng Wang Tianang Sun OffRL 135 0 0 24 Nov 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 82 1 0 06 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan 201 4 0 01 Nov 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 80 0 0 27 Oct 2024
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 42 0 0 16 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 100 13 0 13 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du Bo Peng Xia Ning 48 0 0 12 Oct 2024
Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing Xinyi Li Ti Zhou Haoyu Wang Man Lin 27 2 0 28 Sep 2024
Robust Reinforcement Learning with Dynamic Distortion Risk Measures Anthony Coache S. Jaimungal 49 1 0 16 Sep 2024
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning Shreyas S R OffRL OnRL 41 0 0 10 Sep 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 120 3 0 20 Aug 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems Yi Zhang Ruihong Qiu Jiajun Liu Sen Wang OffRL 56 0 0 18 Jul 2024
Optimistic Q-learning for average reward and episodic reinforcement learning Priyank Agrawal Shipra Agrawal 66 5 0 18 Jul 2024
Robust Q-Learning for finite ambiguity sets Cécile Decker Julian Sester 47 1 0 05 Jul 2024
An Imitative Reinforcement Learning Framework for Autonomous Dogfight Siyuan Li Rongchang Zuo Peng Liu Yingnan Zhao Yingnan Zhao 57 1 0 17 Jun 2024
Value Improved Actor Critic Algorithms Yaniv Oren Moritz A. Zanger Pascal R. van der Vaart M. Spaan Wendelin Bohmer Wendelin Bohmer OffRL 47 0 0 03 Jun 2024
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence Minheng Xiao Xian Yu Lei Ying 50 2 0 23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 157 49 0 23 May 2024
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks Zijiang Yan Hina Tabassum 41 2 0 18 May 2024
Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning Maad Ebrahim A. Hafid 40 0 0 15 May 2024
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics David Valencia Henry Williams Trevor Gee Bruce A MacDonaland Minas V. Liarokapis Minas Liarokapis OffRL 98 2 0 04 May 2024
Tabular and Deep Reinforcement Learning for Gittins Index Harshit Dhankar Kshitij Mishra Tejas Bodas 55 0 0 02 May 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 45 0 0 25 Apr 2024
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation Yuqiao Wen Behzad Shayegh Chenyang Huang Yanshuai Cao Lili Mou 72 5 0 29 Feb 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 36 2 0 15 Feb 2024
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming Andrzej Mizera Jakub Zarzycki 39 1 0 13 Feb 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 70 2 0 26 Jan 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 102 5 0 13 Dec 2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 59 3 0 28 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 81 4 0 06 Nov 2023