Papers citing 'Coordinated Exploration in Concurrent Reinforcement Learning'

Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 399 2 0 02 May 2025
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problemsCommunications in nonlinear science & numerical simulation (CNSNS), 2024 Egor E. Nuzhin Nikolai V. Brilliantov 202 3 0 21 Nov 2024
Causal Coordinated Concurrent Reinforcement Learning Tim Tse Isaac Chan Zhitang Chen CML 123 1 0 31 Jan 2024
Adaptive Interventions with User-Defined Goals for Health Behavior Change Aishwarya Mandyam Matthew Joerke William Denton Barbara E. Engelhardt Emma Brunskill 245 3 0 16 Nov 2023
Ensemble sampling for linear bandits: small ensembles sufficeNeural Information Processing Systems (NeurIPS), 2023 David Janz A. Litvak Csaba Szepesvári 300 3 0 14 Nov 2023
Social Contract AI: Aligning AI Assistants with Implicit Group Norms Jan-Philipp Fränken Sam Kwok Peixuan Ye Kanishk Gandhi Dilip Arumugam Jared Moore Alex Tamkin Tobias Gerstenberg Noah D. Goodman 234 9 0 26 Oct 2023
Bayesian Reinforcement Learning with Limited Cognitive LoadOpen Mind (OM), 2023 Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 216 13 0 05 May 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 286 3 0 04 Feb 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Pedro Cisneros-Velarde Boxiang Lyu Oluwasanmi Koyejo Mladen Kolar OffRL 296 3 0 31 May 2022
An Analysis of Ensemble SamplingNeural Information Processing Systems (NeurIPS), 2022 Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 305 25 0 02 Mar 2022
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Zhenxing Ge Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 243 144 0 14 Sep 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021 Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 191 121 0 23 Jul 2021
Provably Efficient Multi-Task Reinforcement Learning with Model TransferNeural Information Processing Systems (NeurIPS), 2021 Chicheng Zhang Zhi Wang OffRL 232 19 0 19 Jul 2021
No-Regret Reinforcement Learning with Heavy-Tailed RewardsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Vincent Zhuang Yanan Sui 810 12 0 25 Feb 2021
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence Tongzheng Ren Aoxiao Zhong Na Li 144 3 0 03 Nov 2020
Collaborative Top Distribution Identifications with Limited InteractionIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2020 Nikolai Karpov Qin Zhang Yuanshuo Zhou 186 28 0 20 Apr 2020
Population-Guided Parallel Policy Search for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020 Whiyoung Jung Giseung Park Y. Sung OffRL 147 39 0 09 Jan 2020
MAVEN: Multi-Agent Variational ExplorationNeural Information Processing Systems (NeurIPS), 2019 Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 353 401 0 16 Oct 2019
Influence-Based Multi-Agent ExplorationInternational Conference on Learning Representations (ICLR), 2019 Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 162 148 0 12 Oct 2019
Reinforcement Learning in Healthcare: A SurveyACM Computing Surveys (ACM CSUR), 2019 Chao Yu Jiming Liu S. Nemati LM&MA OffRL 392 666 0 22 Aug 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 262 265 0 12 Jun 2019
PAC Guarantees for Cooperative Multi-Agent Reinforcement Learning with Restricted Communication Or Raveh Ron Meir 69 0 0 23 May 2019
Concurrent Meta Reinforcement Learning Emilio Parisotto Soham Ghosh S. Yalamanchi Varsha Chinnaobireddy Yuhuai Wu Ruslan Salakhutdinov LRM 109 17 0 07 Mar 2019
Diverse Exploration via Conjugate Policies for Policy Gradient MethodsAAAI Conference on Artificial Intelligence (AAAI), 2019 Andrew Cohen Xingye Qiao Lei Yu E. Way Xiangrong Tong 107 9 0 10 Feb 2019
Scalable Coordinated Exploration in Concurrent Reinforcement Learning Maria Dimakopoulou Ian Osband Benjamin Van Roy OffRL 123 25 0 23 May 2018