Title
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning Kryspin Varys Federico Cerutti Adam Sobey Timothy J. Norman 19 0 0 21 May 2025
Generalization in Monitored Markov Decision Processes (Mon-MDPs) Montaser Mohammedalamen Michael Bowling 31 0 0 13 May 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 81 0 0 17 Jan 2025
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 60 0 0 31 Dec 2024
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 51 0 0 23 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 34 2 0 08 Nov 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 43 0 0 06 Nov 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 119 2 0 23 Oct 2024
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 31 1 0 20 Sep 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 95 3 0 20 Aug 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 48 6 0 06 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 38 3 0 18 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 45 0 0 09 Jul 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 45 5 0 12 Mar 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent Yingru Li Jiawei Xu Lei Han Zhi-Quan Luo BDL OffRL 33 5 0 05 Feb 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 32 5 0 03 Aug 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Rameswar Panda 27 6 0 17 Jul 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 85 0 30 May 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 30 20 0 29 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 33 6 0 15 May 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 38 1 0 03 Mar 2023
Robot path planning using deep reinforcement learning Miguel Quinones-Ramirez Jorge Ríos-Martínez Víctor Uc Cetina SSL 27 5 0 17 Feb 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 45 13 0 13 Feb 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 16 3 0 08 Feb 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 52 5 0 05 Jan 2023
Learning Physically Realizable Skills for Online Packing of General 3D Shapes Hang Zhao Zherong Pan Yang Yu Kai Xu OffRL 37 14 0 05 Dec 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 36 24 0 14 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 45 7 0 09 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges Qi Liu Xueyuan Li Zirui Li Jingda Wu Guodong Du Xinlu Gao Fan Yang Shihua Yuan 54 8 0 06 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 27 0 0 02 Nov 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 40 14 0 26 Oct 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
Bridging the Gap Between Target Networks and Functional Regularization Alexandre Piché Valentin Thomas Joseph Marino Rafael Pardiñas Gian Maria Marconi C. Pal Mohammad Emtiyaz Khan 14 1 0 21 Oct 2022
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning Arsène Fansi Tchango Rishab Goel Julien Martel Zhi Wen G. Caron J. Ghosn 34 11 0 13 Oct 2022
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles S. Luis Daniel Gutiérrez-Reina S. T. Marín 26 8 0 12 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 50 21 0 04 Oct 2022
Deep Intrinsically Motivated Exploration in Continuous Control Baturay Saglam Suleyman Serdar Kozat 26 4 0 01 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 31 3 0 01 Oct 2022
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 40 2 0 22 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning Manuel Goulão Arlindo L. Oliveira ViT 50 6 0 22 Sep 2022
Locally Constrained Representations in Reinforcement Learning Somjit Nath Rushiv Arora Samira Ebrahimi Kahou OOD OffRL 34 0 0 20 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 42 35 0 19 Sep 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks Litian Liang Yaosheng Xu Stephen Marcus McAleer Dailin Hu Alexander Ihler Pieter Abbeel Roy Fox OOD 29 16 0 16 Sep 2022
Prediction Based Decision Making for Autonomous Highway Driving Mustafa Yildirim Sajjad Mozaffari Lucy McCutcheon M. Dianati Alireza Tamaddoni-Nezhad Saber Fallah 16 7 0 05 Sep 2022
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh OffRL 22 10 0 25 Aug 2022
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning Christoph Dann M. Mohri Tong Zhang Julian Zimmert OffRL 23 33 0 23 Aug 2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration Wenhui Huang Cong Zhang Jingda Wu Xiangkun He Jie Zhang Chengqi Lv 18 8 0 20 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 24 69 0 16 Jun 2022