Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,245 papers shown

Title
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 35 20 0 29 Mar 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels Chris Bamford Simon Lucas OCL 6 11 0 23 Mar 2020
Deep Sets for Generalization in RL Tristan Karch Cédric Colas Laetitia Teodorescu Clément Moulin-Frier Pierre-Yves Oudeyer OffRL AI4CE 14 6 0 20 Mar 2020
Active Perception and Representation for Robotic Manipulation Youssef Y. Zaky Gaurav Paruthi B. Tripp James Bergstra 28 16 0 15 Mar 2020
Sparse Graphical Memory for Robust Planning Scott Emmons Ajay Jain Michael Laskin Thanard Kurutach Pieter Abbeel Deepak Pathak 31 50 0 13 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 160 458 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 24 169 0 10 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020
Dynamic Experience Replay Jieliang Luo Hui Li 120 24 0 04 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Joseph E. Gonzalez Aaron D. Ames Ken Goldberg 37 13 0 03 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 17 48 0 27 Feb 2020
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning Tom Jurgenson Or Avner E. Groshev Aviv Tamar 11 40 0 27 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning Philipp Leinen Malte Esders Kristof T. Schütt C. Wagner K. Müller F. Tautz 6 52 0 27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 41 3 0 27 Feb 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 27 69 0 26 Feb 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 53 35 0 25 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
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation Yige Xu Xipeng Qiu L. Zhou Xuanjing Huang 17 66 0 24 Feb 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles Isbell J. Yosinski OffRL 24 18 0 21 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 22 118 0 21 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 25 9 0 21 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 29 169 0 20 Feb 2020
Value-driven Hindsight Modelling A. Guez Fabio Viola T. Weber Lars Buesing Steven Kapturowski Doina Precup David Silver N. Heess OffRL 32 12 0 19 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization Sharath Chandra Raparthy Bhairav Mehta Florian Golemo Liam Paull 30 8 0 18 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 36 12 0 15 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 21 4 0 13 Feb 2020
XCS Classifier System with Experience Replay Anthony Stein Roland Maier Lukas Rosenbauer J. Hähner BDL 12 21 0 13 Feb 2020
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning Caterina Neef Dario Luipers J. Bollenbacher Christian Gebel A. Richert 42 4 0 11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 19 150 0 10 Feb 2020
Multi-task Reinforcement Learning with a Planning Quasi-Metric Vincent Micheli Karthigan Sinnathamby Franccois Fleuret 14 2 0 08 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning Sha Luo Hamidreza Kasaei Lambert Schomaker CLL 14 46 0 07 Feb 2020
Soft Hindsight Experience Replay Qiwei He Liansheng Zhuang Houqiang Li 24 9 0 06 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 18 4 0 05 Feb 2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences Wenzel Pilar von Pilchau Anthony Stein J. Hähner OffRL 9 10 0 04 Feb 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 29 60 0 22 Jan 2020
A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions A. Mondal OffRL 4 8 0 19 Jan 2020
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods Juan Vargas L. Andjelic A. Farimani 25 1 0 18 Jan 2020
Multi-Robot Formation Control Using Reinforcement Learning Abhay Rawat K. Karlapalem 14 4 0 13 Jan 2020
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback Binyamin Manela 18 0 0 12 Jan 2020
Reward Engineering for Object Pick and Place Training Raghav Nagpal Achyuthan Unni Krishnan Hanshen Yu 6 8 0 11 Jan 2020
A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse Steven D. James Benjamin Rosman 22 54 0 06 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning Chen Ma Dylan R. Ashley Junfeng Wen Yoshua Bengio OffRL 7 26 0 05 Jan 2020
Reinforcement Learning with Goal-Distance Gradient Kai Jiang X. Qin 14 0 0 01 Jan 2020
Reward-Conditioned Policies Aviral Kumar Xue Bin Peng Sergey Levine 22 92 0 31 Dec 2019
Intrinsic motivations and open-ended learning Gianluca Baldassarre AI4CE 27 8 0 31 Dec 2019
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 26 111 0 23 Dec 2019
Questions to Guide the Future of Artificial Intelligence Research J. Ott 22 3 0 21 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 39 4 0 21 Dec 2019
Uncertainty-sensitive Learning and Planning with Ensembles Piotr Milo's Lukasz Kuciñski K. Czechowski Piotr Kozakowski Maciek Klimek OffRL 18 8 0 19 Dec 2019