Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

5 November 2020

Jianye Hao

Changjie Fan

Papers citing "Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping"

50 / 79 papers shown

Title
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution Yufei Lin Chengwei Ye Jun Wang Kangsheng Wang Linuo Xu Shuyan Liu Zeyu Zhang 40 1 0 08 May 2025
Learning Explainable Dense Reward Shapes via Bayesian Optimization Ryan Koo Ian Yang Vipul Raheja Mingyi Hong Kwang-Sung Jun Dongyeop Kang 31 0 0 22 Apr 2025
Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking Dylan Khor Bowen Weng 40 1 0 21 Apr 2025
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities Yongshuai Liu Taeyeong Choi Xin Liu AI4CE 61 0 0 27 Mar 2025
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies Shih-Min Yang Martin Magnusson J. A. Stork Todor Stoyanov 49 0 0 23 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 56 0 0 14 Mar 2025
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation Pierrick Lorang Hong Lu Matthias Scheutz 46 0 0 06 Mar 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 43 1 0 04 Mar 2025
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Xu Yang Rui Wang Kaiwen Li Ling Wang 56 0 0 22 Jan 2025
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning Ahmed Alagha Jamal Bentahar Hadi Otrok Shakti Singh R. Mizouni 53 3 0 19 Jan 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning Yun Qu Yuhang Jiang Boyuan Wang Yixiu Mao Cheems Wang Chang-Shu Liu Xiangyang Ji 82 3 0 10 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 85 0 0 03 Jan 2025
Bootstrapped Reward Shaping Jacob Adamczyk Volodymyr Makarenko Stas Tiomkin R. Kulkarni OffRL 33 0 0 03 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 52 14 0 31 Dec 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 43 1 0 07 Oct 2024
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments S. Zhan Qingyuan Wu Philip Wang Yixuan Wang Ruochen Jiao Chao Huang Qi Zhu 39 1 0 04 Oct 2024
ELO-Rated Sequence Rewards: Advancing Reinforcement Learning Models Qi Ju Falin Hei Zhemei Fang Yunfeng Luo 37 0 0 05 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 44 6 0 06 Aug 2024
Principal-Agent Reinforcement Learning Dima Ivanov Paul Dutting Inbal Talgam-Cohen Tonghan Wang David C. Parkes 42 3 0 25 Jul 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 44 3 0 23 Jul 2024
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning Davide Corsi Davide Camponogara Alessandro Farinelli OffRL 46 2 0 30 May 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 46 2 0 30 May 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 32 0 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 31 1 0 11 Apr 2024
Extremum-Seeking Action Selection for Accelerating Policy Optimization Ya-Chien Chang Sicun Gao 40 0 0 02 Apr 2024
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning Antonio Lopez David Fridovich-Keil 38 1 0 18 Mar 2024
Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning Jinyeob Kim Sumin Kang Sungwoo Yang Beomjoon Kim Jargalbaatar Yura Donghan Kim 181 1 0 22 Feb 2024
Auxiliary Reward Generation with Transition Distance Representation Learning Siyuan Li Shijie Han Yingnan Zhao B. Liang Peng Liu OffRL 40 0 0 12 Feb 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF Han Shen Zhuoran Yang Tianyi Chen OffRL 40 14 0 10 Feb 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 36 0 0 06 Feb 2024
Principal-Agent Reward Shaping in MDPs Omer Ben-Porat Yishay Mansour Michal Moshkovitz Boaz Taitler 45 10 0 30 Dec 2023
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning Md Saiful Islam Srijita Das S. Gottipati William Duguay Clodéric Mars Jalal Arabneydi Antoine Fagette Matthew J. Guzdial Matthew E. Taylor 41 1 0 23 Dec 2023
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping Lauren H. Cooke Harvey Klyne Edwin Zhang Cassidy Laidlaw Milind Tambe Finale Doshi-Velez 21 2 0 15 Dec 2023
FoMo Rewards: Can we cast foundation models as reward functions? Ekdeep Singh Lubana Johann Brehmer P. D. Haan Taco S. Cohen OffRL LRM 48 2 0 06 Dec 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play John Kliem Prithviraj Dasgupta OffRL 19 1 0 27 Nov 2023
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi Mario di Bernardo OffRL 27 4 0 16 Nov 2023
Behavior Alignment via Reward Function Optimization Dhawal Gupta Yash Chandak Scott M. Jordan Philip S. Thomas Bruno Castro da Silva 31 10 0 29 Oct 2023
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives Shih-Min Yang Martin Magnusson J. A. Stork Todor Stoyanov 47 6 0 26 Oct 2023
Learning to Terminate in Object Navigation Yuhang Song Anh Nguyen Chun-Yi Lee 38 3 0 28 Sep 2023
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design M. Chadi H. Mousannif Ahmed Aamouche BDL 52 2 0 24 Sep 2023
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das Sonia Chernova Been Kim LRM LLMAG 47 22 0 21 Sep 2023
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models Ophir M. Carmel Guy Katz 38 0 0 06 Sep 2023
Deep Reinforcement Learning from Hierarchical Preference Design Alexander Bukharin Yixiao Li Pengcheng He Tuo Zhao 19 0 0 06 Sep 2023
Loss Dynamics of Temporal Difference Reinforcement Learning Blake Bordelon P. Masset Henry Kuo Cengiz Pehlevan AI4CE 21 0 0 10 Jul 2023
Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation Guilherme Christmann Ying-Sheng Luo Jonathan Hans Soeseno Wei-Chao Chen 28 2 0 14 Jun 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach Yudi Zhang Yali Du Erdun Gao Ziyan Wang Jun Wang Meng Fang Mykola Pechenizkiy CML 26 17 0 28 May 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 28 1 0 14 Apr 2023
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning Yash Satsangi Paniz Behboudian OffRL 19 0 0 14 Apr 2023
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football Chaoyi Gu V. D. Silva Corentin Artaud Rafael Pina 21 1 0 25 Mar 2023