Unpacking Reward Shaping: Understanding the Benefits of Reward
Engineering on Sample Complexity

Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity

18 October 2022

Abhishek Gupta

Papers citing "Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity"

15 / 15 papers shown

Title
Automatic Reward Shaping from Confounded Offline Data Mingxuan Li Junzhe Zhang Elias Bareinboim OffRL OnRL 23 1 0 16 May 2025
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination Dixiao Wei Peng Yi Jinlong Lei Yiguang Hong Yuchuan Du 134 0 0 28 Apr 2025
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning Linji Wang Tong Xu Yuanjie Lu Xuesu Xiao 48 0 0 19 Mar 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu Fengda Zhang Long Chen Kun Kuang Jiahui Li Kaifeng Gao Jun Xiao X. Wang Wenwu Zhu EGVM 53 0 0 14 Mar 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 75 2 0 04 Feb 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 49 12 0 31 Dec 2024
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 30 0 0 13 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 29 5 0 06 Aug 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 34 3 0 23 Jul 2024
RLIF: Interactive Imitation Learning as Reinforcement Learning Jianlan Luo Perry Dong Yuexiang Zhai Yi-An Ma Sergey Levine OffRL 25 14 0 21 Nov 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 27 5 0 09 Oct 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 31 1 0 11 Jul 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning Jiawei Huang Niao He OffRL 21 1 0 10 Feb 2023
UCB Momentum Q-learning: Correcting the bias without forgetting Pierre Menard O. D. Domingues Xuedong Shang Michal Valko 79 40 0 01 Mar 2021
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 132 135 0 09 Dec 2019