DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning

31 January 2022

Papers citing "DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning"

10 / 10 papers shown

Title
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles Jiesong Lian Yucong Huang Chengdong Ma Mingzhi Wang Ying Wen Long Hu Yixue Hao 62 0 0 31 May 2024
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method Kyuwon Choi Cheolkyun Rho Taeyoun Kim D. Choi OffRL 21 0 0 21 Mar 2024
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning Dohyeok Lee Seung Han Taehyun Cho Jungwoo Lee OffRL 30 2 0 06 Jan 2024
Diversity from Human Feedback Ren-Jian Wang Ke Xue Yutong Wang Peng Yang Haobo Fu Qiang Fu Chao Qian 45 3 0 10 Oct 2023
Ensemble Reinforcement Learning: A Survey Yanjie Song Ponnuthurai Nagaratnam Suganthan Witold Pedrycz Junwei Ou Yongming He Y. Chen Yutong Wu OffRL 46 39 0 05 Mar 2023
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size Alexander Nikulin Vladislav Kurenkov Denis Tarasov Dmitry Akimov Sergey Kolesnikov OffRL 33 14 0 20 Nov 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 105 262 0 04 Oct 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 45 143 0 08 Feb 2021
Query-Focused Extractive Video Summarization Aidean Sharghi Boqing Gong M. Shah 69 121 0 18 Jul 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,123 0 25 Jul 2012