Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,242 papers shown

Title
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 11 14 0 27 May 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 14 2,083 0 27 May 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 9 41 0 23 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 21 80 0 21 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 10 24 0 20 May 2019
Evolving Rewards to Automate Reinforcement Learning Aleksandra Faust Anthony G. Francis Dar Mehta 17 50 0 18 May 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar Akhil Sathuluri Balaraman Ravindran 26 4 0 17 May 2019
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization Binyamin Manela Armin Biess 9 23 0 14 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 14 10 0 05 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
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 13 99 0 02 May 2019
Generative Exploration and Exploitation Jiechuan Jiang Zongqing Lu 20 6 0 21 Apr 2019
Learning Manipulation Skills Via Hierarchical Spatial Attention Marcus Gualtieri Robert W. Platt 20 13 0 19 Apr 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 6 528 0 18 Apr 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation Benjamin Beyret A. Shafti A. Faisal 17 73 0 14 Apr 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 23 28 0 25 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 16 14 0 25 Mar 2019
Hindsight Generative Adversarial Imitation Learning N. Liu Tao Lu Yinghao Cai Boyao Li Shuo Wang 24 6 0 19 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
Open-Sourced Reinforcement Learning Environments for Surgical Robotics Florian Richter Ryan K. Orosco Michael C. Yip OffRL 21 79 0 05 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 31 390 0 05 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments Zhizheng Zhang Jiale Chen Zhibo Chen Weiping Li OffRL 17 60 0 03 Mar 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 19 58 0 23 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 11 54 0 20 Feb 2019
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization Adarsh Sehgal Hung M. La S. Louis Hai V. Nguyen GP 11 90 0 19 Feb 2019
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 18 42 0 14 Feb 2019
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup Devin Schwab Tobias Springenberg M. Martins Thomas Lampe Michael Neunert A. Abdolmaleki Tim Hertweck Roland Hafner F. Nori Martin Riedmiller 11 22 0 13 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning Harris Chan Yuhuai Wu J. Kiros Sanja Fidler Jimmy Ba 31 34 0 12 Feb 2019
Preferences Implicit in the State of the World Rohin Shah Dmitrii Krasheninnikov Jordan Alexander Pieter Abbeel Anca Dragan 13 55 0 12 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 24 52 0 01 Feb 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning Marc G. Bellemare Will Dabney Robert Dadashi Adrien Ali Taïga Pablo Samuel Castro Nicolas Le Roux Dale Schuurmans Tor Lattimore Clare Lyle 11 90 0 31 Jan 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs Himanshu Sahni Toby Buckley Pieter Abbeel Ilya Kuzovkin 27 10 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 361 0 30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019
Modularization of End-to-End Learning: Case Study in Arcade Games Andrew Melnik Sascha Fleer M. Schilling Helge J. Ritter OffRL 39 12 0 27 Jan 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat SSL OffRL 6 56 0 24 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 8 210 0 24 Jan 2019
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning Joshua A. Haustein Isac Arnekvist J. A. Stork Kaiyu Hang Danica Kragic 11 10 0 11 Jan 2019
Motion Perception in Reinforcement Learning with Dynamic Objects Artemij Amiranashvili Alexey Dosovitskiy V. Koltun Thomas Brox 6 35 0 10 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
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 12 595 0 01 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 15 113 0 18 Dec 2018
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 10 172 0 15 Dec 2018
Scene Recomposition by Learning-based ICP Hamid Izadinia S. M. Seitz 3DV 3DPC 17 14 0 13 Dec 2018
Composing Entropic Policies using Divergence Correction Jonathan J. Hunt André Barreto Timothy Lillicrap N. Heess 11 2 0 05 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting Junfeng Wen Yanshuai Cao Ruitong Huang CLL 6 24 0 03 Dec 2018
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning Yixiu Zhao Ziyin Liu LRM 18 0 0 30 Nov 2018
Modulated Policy Hierarchies Alexander Pashevich Danijar Hafner James Davidson Rahul Sukthankar Cordelia Schmid 14 6 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 38 172 0 28 Nov 2018