Divide-and-Conquer Reinforcement Learning

27 November 2017

Dibya Ghosh

Avi Singh

Aravind Rajeswaran

Vikash Kumar

Sergey Levine

OffRL

ArXiv PDF HTML

Papers citing "Divide-and-Conquer Reinforcement Learning"

37 / 87 papers shown

Title
Multimodal Trajectory Optimization for Motion Planning Takayuki Osa 34 55 0 16 Mar 2020
On Catastrophic Interference in Atari 2600 Games W. Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle 12 26 0 28 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space H. Mobahi Mehrdad Farajtabar Peter L. Bartlett 33 227 0 13 Feb 2020
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning Zhang-Wei Hong P. Nagarajan Guilherme J. Maeda OffRL 20 4 0 01 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,174 0 19 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 19 1 0 11 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
Reward-Conditioned Policies Aviral Kumar Xue Bin Peng Sergey Levine 20 92 0 31 Dec 2019
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 23 111 0 23 Dec 2019
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction Vishal Jain W. Fedus Hugo Larochelle Doina Precup Marc G. Bellemare AI4CE 19 30 0 28 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 31 122 0 17 Nov 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 30 4 0 31 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 24 423 0 25 Oct 2019
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement Zhiwu Huang D. Paudel Guanju Li Jiqing Wu Radu Timofte Luc Van Gool 33 4 0 23 Oct 2019
Bottom-Up Meta-Policy Search Luckeciano C. Melo Marcos R. O. A. Máximo A. Cunha 36 6 0 22 Oct 2019
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems T. Paine Çağlar Gülçehre Bobak Shahriari Misha Denil Matt Hoffman ... Duncan Williams Gabriel Barth-Maron Ziyun Wang Nando de Freitas Worlds Team 22 80 0 03 Sep 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 24 253 0 12 Aug 2019
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems Heinke Hihn Sebastian Gottwald Daniel A. Braun 27 16 0 26 Jul 2019
On the Weaknesses of Reinforcement Learning for Neural Machine Translation Leshem Choshen Lior Fox Zohar Aizenbud Omri Abend 26 104 0 03 Jul 2019
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework M. Nazari Majid Jahani L. Snyder Martin Takáč OffRL OnRL 11 1 0 30 May 2019
Control Regularization for Reduced Variance Reinforcement Learning Richard Cheng Abhinav Verma G. Orosz Swarat Chaudhuri Yisong Yue J. W. Burdick OffRL 20 76 0 14 May 2019
Information asymmetry in KL-regularized RL Alexandre Galashov Siddhant M. Jayakumar Leonard Hasenclever Dhruva Tirumala Jonathan Richard Schwarz Guillaume Desjardins Wojciech M. Czarnecki Yee Whye Teh Razvan Pascanu N. Heess OffRL 19 102 0 03 May 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 45 24 0 11 Apr 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 31 30 0 07 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 19 57 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 13 45 0 18 Mar 2019
Distilling Policy Distillation Wojciech M. Czarnecki Razvan Pascanu Simon Osindero Siddhant M. Jayakumar G. Swirszcz Max Jaderberg 18 131 0 06 Feb 2019
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization Takayuki Osa Voot Tangkaratt Masashi Sugiyama OffRL 14 27 0 05 Jan 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 33 223 0 05 Nov 2018
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment Xin Ye Zhe-nan Lin Joon-Young Lee Jianming Zhang Shibin Zheng Yezhou Yang 11 20 0 21 Sep 2018
Bounded Rational Decision-Making with Adaptive Neural Network Priors Heinke Hihn Sebastian Gottwald Daniel A. Braun 28 10 0 04 Sep 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 39 872 0 16 May 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 44 445 0 28 Feb 2018
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 30 68 0 16 Nov 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017