Stochastic Neural Networks for Hierarchical Reinforcement Learning

10 April 2017

Pieter Abbeel

Papers citing "Stochastic Neural Networks for Hierarchical Reinforcement Learning"

50 / 218 papers shown

Title
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 46 0 0 24 Feb 2025
Measuring Diversity of Game Scenarios Yuchen Li Ziqi Wang Qingquan Zhang Jialin Liu Jiaheng Liu 63 2 0 17 Jan 2025
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware Akash Kundu Leopoldo Sarra 37 3 0 31 Oct 2024
Identifying Selections for Unsupervised Subtask Discovery Yiwen Qiu Yujia Zheng Anton van den Hengel 32 0 0 28 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers Juyan Zhang Dana Kulić Michael Burke 31 0 0 18 Oct 2024
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation Luo Ji Gao Liu Mingyang Yin Hongxia Yang Jingren Zhou 16 0 0 11 Sep 2024
How to Choose a Reinforcement-Learning Algorithm Fabian Bongratz Vladimir Golkov Lukas Mautner Luca Della Libera Frederik Heetmeyer Felix Czaja Julian Rodemann Daniel Cremers 34 1 0 30 Jul 2024
I Know How: Combining Prior Policies to Solve New Tasks Malio Li Elia Piccoli Vincenzo Lomonaco Davide Bacciu CLL 23 0 0 14 Jun 2024
Exploring the limits of Hierarchical World Models in Reinforcement Learning Robin Schiewer Anand Subramoney Laurenz Wiskott 31 1 0 01 Jun 2024
MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita Jie Xu Armando Solar-Lezama Wojciech Matusik 21 0 0 24 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 0 0 19 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling Yuhang Lai Siyuan Wang Shujun Liu Xuanjing Huang Zhongyu Wei 29 4 0 11 Mar 2024
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making Scotty Black Christian J. Darken 14 2 0 08 Feb 2024
Learning Diverse Policies with Soft Self-Generated Guidance Guojian Wang Faguo Wu Xiao Zhang Jianxiang Liu OffRL 18 4 0 07 Feb 2024
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Zhiming Zheng 36 0 0 30 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 28 3 0 27 Dec 2023
Diverse Conventions for Human-AI Collaboration Bidipta Sarkar Andy Shih Dorsa Sadigh 23 5 0 24 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 21 4 0 08 Oct 2023
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout Haoran Wang Zeshen Tang Leya Yang Yaoru Sun Fang Wang Siyu Zhang Ye-Ting Chen 30 2 0 24 Sep 2023
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing Wangyang Ying Dongjie Wang Kunpeng Liu Leilei Sun Yanjie Fu 22 13 0 08 Sep 2023
Dyadic Reinforcement Learning Shuangning Li L. Niell S. Choi Inbal Nahum-Shani Guy Shani Susan Murphy OffRL 23 1 0 15 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 11 0 0 02 Aug 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum George Konidaris 33 5 0 06 Jul 2023
NetHack is Hard to Hack Ulyana Piterbarg Lerrel Pinto Rob Fergus 19 7 0 30 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning Jiayu Chen Dipesh Tamboli Tian-Shing Lan Vaneet Aggarwal 31 12 0 22 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang Chenjia Bai Hongyi Guo Siyuan Li Bin Zhao Zhen Wang Peng Liu Xuelong Li SSL 29 16 0 08 May 2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand Yongkang Luo Wanyi Li Peng Wang Haonan Duan Wei Wei Jia sun 38 1 0 19 Apr 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 Feb 2023
CERiL: Continuous Event-based Reinforcement Learning Celyn Walters Simon Hadfield OffRL 17 2 0 15 Feb 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 26 4 0 24 Jan 2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks Chong Li Chen Gong Qiang He Xinwen Hou Yu Liu 48 1 0 06 Jan 2023
SHIRO: Soft Hierarchical Reinforcement Learning Kandai Watanabe Mathew Strong Omer Eldar 24 1 0 24 Dec 2022
Reusable Options through Gradient-based Meta Learning David Kuric H. V. Hoof 26 0 0 22 Dec 2022
Learning Options via Compression Yiding Jiang E. Liu Benjamin Eysenbach Zico Kolter Chelsea Finn OffRL 25 13 0 08 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans Megha Srivastava Erdem Biyik Suvir Mirchandani Noah D. Goodman Dorsa Sadigh 20 6 0 25 Nov 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 33 6 0 24 Nov 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning Sichao Huang Ziwei Wang Jie Zhou Jiwen Lu 18 18 0 17 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 25 0 0 02 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 3 0 28 Oct 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching Ademi Adeniji Amber Xie Pieter Abbeel OffRL 17 5 0 14 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng Xin Hu Rui Zhang Ke Tang Jiaming Guo ... Xishan Zhang Zidong Du Ling Li Qi Guo Yunji Chen 15 22 0 13 Oct 2022
ASPiRe:Adaptive Skill Priors for Reinforcement Learning Mengda Xu Manuela Veloso Shuran Song CLL OffRL 16 10 0 30 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 34 35 0 19 Sep 2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions Chenhao Li Sebastian Blaes Pavel Kolev Marin Vlastelica Jonas Frey Georg Martius SSL 51 29 0 16 Sep 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 27 9 0 11 Jul 2022
CompoSuite: A Compositional Reinforcement Learning Benchmark Jorge Armando Mendez Mendez Marcel Hussing Meghna Gummadi Eric Eaton CoGe OffRL 19 14 0 08 Jul 2022
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning Kushal Chauhan Soumya Chatterjee Akash Reddy Balaraman Ravindran Pradeep Shenoy 24 0 0 12 Jun 2022