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
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 18 143 0 19 Aug 2019
Are You for Real? Detecting Identity Fraud via Dialogue Interactions Weikang Wang Jiajun Zhang Q. Li Chengqing Zong Zhifei Li 13 17 0 19 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation Robin Strudel Alexander Pashevich Igor Kalevatykh Ivan Laptev Josef Sivic Cordelia Schmid 16 4 0 02 Aug 2019
Hybrid system identification using switching density networks Michael G. Burke Yordan V. Hristov S. Ramamoorthy 9 12 0 09 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 14 398 0 02 Jul 2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio 19 47 0 25 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 18 222 0 18 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 22 219 0 13 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 21 71 0 13 Jun 2019
Transfer Learning by Modeling a Distribution over Policies Disha Shrivastava Eeshan Gunesh Dhekane Riashat Islam OOD OffRL 9 0 0 09 Jun 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms Jiarui Jin M. Zhou Weinan Zhang Minne Li Zilong Guo ... Xiaocheng Tang Chenxi Wang Jun Wang Guobin Wu Jieping Ye 11 97 0 27 May 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 17 30 0 25 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 18 192 0 23 May 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 30 30 0 17 May 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar Akhil Sathuluri Balaraman Ravindran 26 4 0 17 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan P. Wang OffRL 6 50 0 16 May 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Shangtong Zhang Andrzej Wojcicki Mai Xu LRM 22 15 0 12 May 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory A. Sorokin Mikhail Burtsev KELM CLL 14 4 0 07 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 11 15 0 04 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 37 78 0 29 Apr 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 14 72 0 29 Apr 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 14 26 0 01 Apr 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 11 45 0 18 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 28 269 0 08 Mar 2019
The Termination Critic A. Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 13 48 0 26 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 19 20 0 29 Jan 2019
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization Takayuki Osa Voot Tangkaratt Masashi Sugiyama OffRL 6 27 0 05 Jan 2019
Self-supervised Learning of Image Embedding for Continuous Control Carlos Florensa Jonas Degrave N. Heess Jost Tobias Springenberg Martin Riedmiller SSL 11 53 0 03 Jan 2019
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning Sirui Xie Junning Huang Lanxin Lei Chunxiao Liu Zheng Ma Wayne Zhang Liang Lin 17 8 0 21 Dec 2018
CompILE: Compositional Imitation Learning and Execution Thomas Kipf Yujia Li H. Dai V. Zambaldi Alvaro Sanchez-Gonzalez Edward Grefenstette Pushmeet Kohli Peter W. Battaglia VLM 17 13 0 04 Dec 2018
Modulated Policy Hierarchies Alexander Pashevich Danijar Hafner James Davidson Rahul Sukthankar Cordelia Schmid 14 6 0 30 Nov 2018
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
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu S. Hansen Volodymyr Mnih DRL OffRL SSL 35 172 0 28 Nov 2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Mai Xu 12 18 0 10 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics Young-Jin Park Han-Lim Choi 9 0 0 19 Sep 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 9 175 0 26 Jul 2018
Representational efficiency outweighs action efficiency in human program induction Sophia Sanborn David D. Bourgin Michael Chang Tom Griffiths 18 8 0 18 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 20 535 0 12 Jul 2018
VFunc: a Deep Generative Model for Functions Philip Bachman Riashat Islam Alessandro Sordoni Zafarali Ahmed VLM BDL 34 8 0 11 Jul 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 34 470 0 14 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 29 142 0 07 Jun 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 14 65 0 25 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 36 795 0 21 May 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 19 189 0 09 Apr 2018
Neuronal Circuit Policies Mathias Lechner Ramin M. Hasani Radu Grosu 11 7 0 22 Mar 2018
Disentangling the independently controllable factors of variation by interacting with the world Valentin Thomas Emmanuel Bengio W. Fedus Jules Pondard Philippe Beaudoin Hugo Larochelle Joelle Pineau Doina Precup Yoshua Bengio DRL CoGe CML 19 61 0 26 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 16 343 0 20 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 20 1,061 0 16 Feb 2018