On Learning Intrinsic Rewards for Policy Gradient Methods

17 April 2018

Papers citing "On Learning Intrinsic Rewards for Policy Gradient Methods"

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Title
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 85 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 12 0 31 Dec 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 34 6 0 06 Aug 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 40 3 0 23 Jul 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 40 0 0 08 Jul 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
Informativeness of Reward Functions in Reinforcement Learning R. Devidze Parameswaran Kamalaruban Adish Singla 29 2 0 10 Feb 2024
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning Eric Hanchen Jiang Andrew Lizarraga 26 0 0 06 Dec 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas Shahab Nikkhoo Zexin Li Aritra Samanta Yufei Li Cong Liu 35 6 0 29 Jul 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 26 8 0 26 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Hypernetworks for Zero-shot Transfer in Reinforcement Learning S. Rezaei-Shoshtari Charlotte Morissette F. Hogan Gregory Dudek D. Meger OffRL 17 14 0 28 Nov 2022
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning Yaxuan Wang Zhixin Zeng Qijun Zhao 13 0 0 19 Nov 2022
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet Laurence Midgley Alexandre Laterre 24 1 0 19 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 36 24 0 14 Nov 2022
Reward Shaping Using Convolutional Neural Network Hani Sami Hadi Otrok Jamal Bentahar Azzam Mourad Ernesto Damiani 26 3 0 30 Oct 2022
Deep Intrinsically Motivated Exploration in Continuous Control Baturay Saglam Suleyman Serdar Kozat 18 4 0 01 Oct 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients Risto Vuorio Jacob Beck Shimon Whiteson Jakob N. Foerster Gregory Farquhar 27 8 0 22 Sep 2022
Meta-Gradients in Non-Stationary Environments Jelena Luketina Sebastian Flennerhag Yannick Schroecker David Abel Tom Zahavy Satinder Singh 31 10 0 13 Sep 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 30 21 0 20 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 39 18 0 05 Dec 2021
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 18 6 0 28 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 92 0 14 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 58 0 09 Sep 2021
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric P. Xing 34 12 0 17 Aug 2021
Towards Practical Credit Assignment for Deep Reinforcement Learning Vyacheslav Alipov Riley Simmons-Edler N.Yu. Putintsev Pavel Kalinin Dmitry Vetrov OffRL 32 11 0 08 Jun 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning Jianzhun Shao Hongchang Zhang Yuhang Jiang Shuncheng He Xiangyang Ji 29 5 0 24 Feb 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 26 33 0 12 Feb 2021
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping Yujing Hu Weixun Wang Hangtian Jia Yixiang Wang Yingfeng Chen Jianye Hao Feng Wu Changjie Fan OffRL 11 173 0 05 Nov 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 21 7 0 08 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 16 7 0 04 Oct 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 55 1,928 0 11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 22 102 0 09 Apr 2020
Learning to Ask Medical Questions using Reinforcement Learning Uri Shaham Tom Zahavy C. Caraballo S. Mahajan D. Massey H. Krumholz OOD 24 1 0 31 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 30 46 0 11 Mar 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
How Should an Agent Practice? Janarthanan Rajendran Richard L. Lewis Vivek Veeriah Honglak Lee Satinder Singh 26 9 0 15 Dec 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric P. Xing 24 116 0 28 Oct 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 14 86 0 10 Sep 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 43 97 0 19 Feb 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 25 292 0 06 Dec 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 20 324 0 24 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017