Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

26 January 2023

Papers citing "Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning"

8 / 8 papers shown

Title
Action-Dependent Optimality-Preserving Reward Shaping Grant C. Forbes Jianxun Wang Leonardo Villalobos-Arias Arnav Jhala David L. Roberts OffRL 12 0 0 19 May 2025
Automatic Reward Shaping from Confounded Offline Data Mingxuan Li Junzhe Zhang Elias Bareinboim OffRL OnRL 33 1 0 16 May 2025
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning Yexin Li Pring Wong Hanfang Zhang Shuo Chen Siyuan Qi OffRL 54 0 0 23 Mar 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 201 0 0 22 Jan 2025
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning Xinran Li Zifan Liu Shibo Chen Jun Zhang 37 2 0 28 May 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Xuezhou Xu Hang Su Xingxing Zhang Jun Zhu 32 4 0 23 May 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 151 1 0 22 Feb 2024
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,234 0 30 Nov 2018