Papers citing 'Heuristic-Guided Reinforcement Learning'

Title
Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Sebastian Reboul Hélène Halconruy Randal Douc OffRL 84 0 0 22 Oct 2025
Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research Mirko Stappert Bernhard Lutz Niklas Goby Dirk Neumann OffRL 196 0 0 03 Apr 2025
Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement LearningInternational Conference on Enterprise Information Systems (ICEIS), 2025 Victor Ulisses Pugliese Oséias F. de A. Ferreira Fabio A. Faria OffRL 190 0 0 21 Mar 2025
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour Antoine Vivien Thomas Chaffre Matthew Stephenson Eva Artusi Paulo E. Santos Benoit Clement Anne-Gwenn Bosser AI4CE 174 0 0 10 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-TuningInternational Conference on Learning Representations (ICLR), 2025 Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 367 8 0 04 Feb 2025
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Sebastian Farquhar Vikrant Varma David Lindner David Elson Caleb Biddulph Ian Goodfellow Rohin Shah 364 10 0 22 Jan 2025
Online inductive learning from answer sets for efficient reinforcement learning exploration Celeste Veronese Daniele Meli Alessandro Farinelli OnRL 180 2 0 13 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup David Meger 406 0 0 03 Jan 2025
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with DemonstrationsConference on Learning for Dynamics & Control (L4DC), 2024 Cevahir Köprülü Po-han Li Tianyu Qiu Ruihan Zhao T. Westenbroek David Fridovich-Keil Sandeep Chinchali Ufuk Topcu OffRL 378 1 0 02 Dec 2024
On the Modeling Capabilities of Large Language Models for Sequential Decision MakingInternational Conference on Learning Representations (ICLR), 2024 Martin Klissarov Devon Hjelm Alexander Toshev Bogdan Mazoure LM&Ro ELM OffRL LRM 256 5 0 08 Oct 2024
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling Kunal Jain Anjaly Parayil Ankur Mallick Esha Choukse Xiaoting Qin ... Chetan Bansal Victor Rühle Anoop Kulkarni Steve Kofsky Saravan Rajmohan 153 2 0 24 Aug 2024
Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis Zhihao Zhou Qile Liu Jiyuan Wang Zhen Liang 144 0 0 22 Aug 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024 Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 573 17 0 06 Aug 2024
Proofread: Fixes All Errors with One Tap Renjie Liu Yanxiang Zhang Yun Zhu Haicheng Sun Yuanbo Zhang Michael Xuelin Huang Shanqing Cai Lei Meng Shumin Zhai ALM 163 4 0 06 Jun 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 243 1 0 06 May 2024
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning Giuseppe Canonaco Leo Ardon Alberto Pozanco Daniel Borrajo OffRL 210 2 0 11 Apr 2024
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method Kyuwon Choi Cheolkyun Rho Taeyoun Kim D. Choi OffRL 130 0 0 21 Mar 2024
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning Hao Chen Weiwei Wan Masaki Matsushita Takeyuki Kotaka Kensuke Harada 147 4 0 18 Jan 2024
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping Lauren H. Cooke Harvey Klyne Edwin Zhang Cassidy Laidlaw Milind Tambe Finale Doshi-Velez 303 2 0 15 Dec 2023
On Using Admissible Bounds for Learning Forward Search HeuristicsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Carlos Núnez-Molina Masataro Asai Pablo Mesejo Juan Fernández-Olivares 248 4 0 23 Aug 2023
Towards an On-device Agent for Text Rewriting Yun Zhu Yinxiao Liu Felix Stahlberg Shankar Kumar Yu-hui Chen Liangchen Luo Lei Shu Renjie Liu Jindong Chen Lei Meng LLMAG 151 8 0 22 Aug 2023
TGRL: An Algorithm for Teacher Guided Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Idan Shenfeld Zhang-Wei Hong Aviv Tamar Pulkit Agrawal 205 19 0 06 Jul 2023
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path FindingIEEE Robotics and Automation Letters (RA-L), 2023 Qiushi Lin Hang Ma 250 27 0 05 Jul 2023
Improving Offline RL by Blending HeuristicsInternational Conference on Learning Representations (ICLR), 2023 Sinong Geng Aldo Pacchiano Andrey Kolobov Ching-An Cheng OffRL 185 9 0 01 Jun 2023
Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning ApproachIEEE Conference on Network Softwarization (NetSoft), 2023 Jamila Alsayed Kassem Li Zhong Arie Taal Paola Grosso 76 1 0 25 Apr 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 221 7 0 31 Mar 2023
Provable Reset-free Reinforcement Learning by No-Regret ReductionInternational Conference on Machine Learning (ICML), 2023 Hoai-An Nguyen Ching-An Cheng OffRL 292 3 0 06 Jan 2023
Reinforcement learning with Demonstrations from Mismatched Task under Sparse RewardConference on Robot Learning (CoRL), 2022 Yanjiang Guo Jingyue Gao Zheng Wu Chengming Shi Jianyu Chen OffRL 222 7 0 03 Dec 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample ComplexityNeural Information Processing Systems (NeurIPS), 2022 Abhishek Gupta Aldo Pacchiano Yuexiang Zhai Sham Kakade Sergey Levine OffRL 189 91 0 18 Oct 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited DataNeural Information Processing Systems (NeurIPS), 2022 Allen Nie Yannis Flet-Berliac Deon R. Jordan William Steenbergen Emma Brunskill OffRL 225 13 0 16 Oct 2022
Making Reinforcement Learning Work on Swimmer Mael Franceschetti Coline Lacoux Ryan Ohouens Antonin Raffin Olivier Sigaud OffRL 123 8 0 16 Aug 2022
Lyapunov Design for Robust and Efficient Robotic Reinforcement LearningConference on Robot Learning (CoRL), 2022 T. Westenbroek F. Castañeda Ayush Agrawal S. Shankar Sastry Koushil Sreenath 220 34 0 13 Aug 2022
Hindsight Learning for MDPs with Exogenous InputsInternational Conference on Machine Learning (ICML), 2022 Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 191 25 0 13 Jul 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressNeural Information Processing Systems (NeurIPS), 2022 Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 304 81 0 03 Jun 2022
Adversarially Trained Actor Critic for Offline Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 243 144 0 05 Feb 2022
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity FunctionsNeural Information Processing Systems (NeurIPS), 2021 Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 156 25 0 29 Nov 2021
Deep Multiagent Reinforcement Learning: Challenges and DirectionsArtificial Intelligence Review (AIR), 2021 Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 213 143 0 29 Jun 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 253 63 0 16 Jun 2021
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning Bogdan Mazoure Paul Mineiro Pavithra Srinath R. S. Sedeh Doina Precup Adith Swaminathan OffRL 176 4 0 01 Jun 2021