Heuristic-Guided Reinforcement Learning

Heuristic-Guided Reinforcement Learning

5 June 2021

Adith Swaminathan

Papers citing "Heuristic-Guided Reinforcement Learning"

15 / 15 papers shown

Title
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 Karl Sammut AI4CE 62 0 0 10 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 70 2 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 82 1 0 22 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 75 0 0 03 Jan 2025
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations Cevahir Köprülü Po-han Li Tianyu Qiu Ruihan Zhao T. Westenbroek David Fridovich-Keil Sandeep P. Chinchali Ufuk Topcu OffRL 89 0 0 02 Dec 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 29 4 0 06 Aug 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 32 0 0 06 May 2024
Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach Jamila Alsayed Kassem Li Zhong Arie Taal Paola Grosso 11 0 0 25 Apr 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 27 5 0 31 Mar 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 18 2 0 06 Jan 2023
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 22 0 13 Jul 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer P. S. Castro Aaron C. Courville Marc G. Bellemare OffRL OnRL 26 63 0 03 Jun 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 11 124 0 05 Feb 2022
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 25 52 0 16 Jun 2021
Beyond the One Step Greedy Approach in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 48 48 0 10 Feb 2018