Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

14 September 2021

Jianye Hao

Zhen Wang

Papers citing "Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain"

39 / 39 papers shown

Title
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks Xinyu Wang Jinbo Bi Minghu Song CLL 54 0 0 01 May 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 14 0 0 29 Apr 2025
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Sorin Grigorescu Mihai V. Zaha AI4CE 31 0 0 02 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu I. Kolmanovsky Dimitar Filev 44 0 0 31 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 87 2 0 24 Mar 2025
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration Y. Fu Yuanheng Zhu Haoran Li Zijie Zhao Jiajun Chai Dongbin Zhao 32 0 0 06 Nov 2024
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing Mohammad Feizabadi Arman Hosseini Zakaria Yahouni 26 0 0 01 Nov 2024
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya OffRL 18 0 0 18 Oct 2024
A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering Qihan Qi Xinsong Yang Gang Xia Daniel W. C. Ho Pengyang Tang 18 0 0 09 Oct 2024
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation Yangtao Chen Zixuan Chen Junhui Yin Jing Huo Pinzhuo Tian Jieqi Shi Yang Gao LM&Ro 35 2 0 30 Sep 2024
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems Xian Yeow Lee Haiyan Wang Daisuke Katsumata Takaharu Matsui Chetan Gupta 17 0 0 27 Sep 2024
The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective Renye Yan Yaozhong Gan You Wu Ling Liang Junliang Xing Yimao Cai Ru Huang 22 1 0 19 Aug 2024
VL-TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments Daeun Song Jing Liang Xuesu Xiao Dinesh Manocha 44 4 0 05 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 11 0 0 01 Aug 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery Chenjia Bai Rushuai Yang Qiaosheng Zhang Kang Xu Yi Chen Ting Xiao Xuelong Li OffRL 25 0 0 25 May 2024
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning Qiaosheng Zhang Chenjia Bai Shuyue Hu Zhen Wang Xuelong Li 19 1 0 30 Apr 2024
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning Shang Wang Deepak Ranganatha Sastry Mamillapalli Tianpei Yang Matthew E. Taylor 26 0 0 11 Apr 2024
Emergent Braitenberg-style Behaviours for Navigating the ViZDoom `My Way Home' Labyrinth Caleidgh Bayer Robert J. Smith M. Heywood 18 0 0 09 Apr 2024
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning Gilhyun Ryou Geoffrey Wang S. Karaman 32 3 0 13 Mar 2024
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback Shihan Dou Yan Liu Haoxiang Jia Limao Xiong Enyu Zhou ... Tao Ji Rui Zheng Qi Zhang Xuanjing Huang Tao Gui LLMAG 54 9 0 02 Feb 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 21 9 0 22 Jan 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu Zhi Wang Yan Zheng Jianye Hao Chenjia Bai Junjie Ye Zhen Wang Haiyin Piao Yang Sun 8 6 0 19 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 13 4 0 15 Dec 2023
Small batch deep reinforcement learning J. Obando-Ceron Marc G. Bellemare Pablo Samuel Castro VLM 23 14 0 05 Oct 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning Jinyi Liu Y. Ma Jianye Hao Yujing Hu Yan Zheng Tangjie Lv Changjie Fan OffRL 31 2 0 27 Jun 2023
Large Sequence Models for Sequential Decision-Making: A Survey Muning Wen Runji Lin Hanjing Wang Yaodong Yang Ying Wen Luo Mai J. Wang Haifeng Zhang Weinan Zhang LM&Ro LRM 16 35 0 24 Jun 2023
Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai-Wen Zhao Yi-An Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 10 12 0 12 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 14 5 0 18 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang Chenjia Bai Hongyi Guo Siyuan Li Bin Zhao Zhen Wang Peng Liu Xuelong Li SSL 9 16 0 08 May 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao X. Wang 6 0 0 16 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 9 0 0 15 Mar 2023
Progress and summary of reinforcement learning on energy management of MPS-EV Jincheng Hu Yang Lin Liang Chu Zhuoran Hou Jihan Li Jingjing Jiang Yuanjian Zhang 13 10 0 08 Nov 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Jinyi Liu Yingfeng Chen Changjie Fan 53 12 0 02 Oct 2022
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning Qing Fu Tenghai Qiu Jianqiang Yi Zhiqiang Pu Xiaolin Ai Wanmai Yuan 14 0 0 16 Aug 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes Zheng Fang Biao Zhao Guizhong Liu 11 2 0 19 May 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 50 31 0 28 Jan 2022
Curious Explorer: a provable exploration strategy in Policy Learning M. Miani Maurizio Parton M. Romito 24 0 0 29 Jun 2021
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 126 350 0 16 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015