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
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 39 92 0 08 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks Andrew C. Li Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith OffRL LRM 19 4 0 03 Jun 2022
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning Marco Bagatella Sammy Christen Otmar Hilliges OffRL 29 5 0 26 May 2022
Developing cooperative policies for multi-stage reinforcement learning tasks J. Erskine Christopher F. Lehnert 6 10 0 11 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
ASC me to Do Anything: Multi-task Training for Embodied AI Jiasen Lu Jordi Salvador Roozbeh Mottaghi Aniruddha Kembhavi 41 3 0 14 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 27 7 0 10 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 20 8 0 09 Feb 2022
GrASP: Gradient-Based Affordance Selection for Planning Vivek Veeriah Zeyu Zheng Richard L. Lewis Satinder Singh 25 4 0 08 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 78 65 0 01 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 38 10 0 24 Jan 2022
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 18 28 0 09 Dec 2021
Hierarchical Reinforcement Learning with Timed Subgoals Nico Gürtler Le Chen Georg Martius 51 22 0 06 Dec 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 32 41 0 04 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning Tianren Zhang Shangqi Guo Tian Tan Xiao M Hu Feng Chen 25 17 0 30 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 40 18 0 27 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 20 58 0 26 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning Thai Le Long Tran-Thanh tql AAML 11 7 0 20 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 44 14 0 10 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 34 25 0 08 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 39 3 0 04 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning Martin Riedmiller Jost Tobias Springenberg Roland Hafner N. Heess OffRL 26 17 0 23 Aug 2021
Unsupervised Skill-Discovery and Skill-Learning in Minecraft J. J. Nieto Roger Creus Xavier Giró-i-Nieto SSL DRL 19 4 0 18 Jul 2021
Adaptable Agent Populations via a Generative Model of Policies Kenneth Derek Phillip Isola 62 16 0 15 Jul 2021
Motion Planning by Learning the Solution Manifold in Trajectory Optimization Takayuki Osa 12 22 0 13 Jul 2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning N. Botteghi L.J.L. Grefte M. Poel B. Sirmaçek C. Brune Edwin Dertien Stefano Stramigioli 27 4 0 08 Jul 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 13 274 0 09 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 22 8 0 06 Jun 2021
Learning Routines for Effective Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan 14 1 0 05 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 17 21 0 02 Jun 2021
Reward is enough for convex MDPs Tom Zahavy Brendan O'Donoghue Guillaume Desjardins Satinder Singh 72 72 0 01 Jun 2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture Chin-Jui Chang Yu-Wei Chu Chao-Hsien Ting Hao-Kang Liu Zhang-Wei Hong Chun-Yi Lee AI4CE 15 1 0 30 May 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 33 25 0 11 May 2021
Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies Austin Nguyen 14 0 0 08 May 2021
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback Jie Huang Rongshun Juan R. Gomez Keisuke Nakamura Q. Sha Bo He Guangliang Li 27 10 0 14 Apr 2021
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control Xue Bin Peng Ze Ma Pieter Abbeel Sergey Levine Angjoo Kanazawa 14 34 0 05 Apr 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning Hiroki Furuta T. Matsushima Tadashi Kozuno Y. Matsuo Sergey Levine Ofir Nachum S. Gu OffRL 11 13 0 23 Mar 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 19 2 0 22 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 28 19 0 13 Mar 2021