Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,245 papers shown

Title
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together Shanqi Liu Licheng Wen Jinhao Cui Xuemeng Yang Junjie Cao Yong Liu 27 8 0 04 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Roland Hafner Thomas Lampe Martin Riedmiller 42 15 0 03 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 23 34 0 27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 27 25 0 22 Oct 2020
Proximal Policy Gradient: PPO with Policy Gradient Ju-Seung Byun Byungmoon Kim Huamin Wang OffRL 8 8 0 20 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator Hongyao Tang Zhaopeng Meng Jianye Hao Chong Chen D. Graves ... Hangyu Mao Wulong Liu Yaodong Yang Wenyuan Tao Li Wang OffRL 24 7 0 19 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 56 56 0 19 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning Chenjia Bai Peng Liu Kaiyu Liu Zhaoran Wang Yingnan Zhao Lingxiao Wang SSL 6 18 0 17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 25 8 0 15 Oct 2020
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards Zhixin Chen Mengxiang Lin 24 6 0 14 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 30 38 0 13 Oct 2020
Hindsight Experience Replay with Kronecker Product Approximate Curvature M. DhuruvaPriyanG Abhik Singla S. Bhatnagar BDL 17 1 0 09 Oct 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 24 152 0 08 Oct 2020
Proximal Policy Optimization with Relative Pearson Divergence Taisuke Kobayashi 6 17 0 07 Oct 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience Robert Lee Daniel Ward Akansel Cosgun Vibhavari Dasagi Peter Corke Jurgen Leitner SSL 25 66 0 07 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 46 216 0 06 Oct 2020
Sentiment Analysis for Reinforcement Learning Ameet Deshpande Eve Fleisig 18 0 0 05 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020) Andreas H. Christ Franz Quint AI4CE 29 0 0 05 Oct 2020
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games Shengyi Huang Santiago Ontañón 14 10 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 17 9 0 03 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 22 10 0 02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems Fei Mi Liangwei Chen Mengjie Zhao Minlie Huang Boi Faltings CLL KELM 19 68 0 02 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 26 44 0 02 Oct 2020
Evaluating a Generative Adversarial Framework for Information Retrieval Ameet Deshpande Mitesh M. Khapra 13 0 0 01 Oct 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du Garrett A. Warnell A. Gebremedhin Peter Stone Matthew E. Taylor 34 10 0 29 Sep 2020
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models Lei M. Zhang Matthias Plappert Wojciech Zaremba 11 4 0 27 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis Kushagra Rastogi Jonathan Lee Fabrice Harel-Canada Aditya Sunil Joglekar OffRL 14 1 0 22 Sep 2020
Learning Task-Agnostic Action Spaces for Movement Optimization Amin Babadi M. van de Panne Caren Liu Perttu Hämäläinen 19 2 0 22 Sep 2020
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models Anirudh Vemula J. Andrew Bagnell Maxim Likhachev 11 9 0 21 Sep 2020
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization Johannes Dornheim L. Morand Samuel Zeitvogel Tarek Iraki Norbert Link Dirk Helm 6 21 0 21 Sep 2020
Efficient Reinforcement Learning Development with RLzoo Zihan Ding Tianyang Yu Yanhua Huang Hongming Zhang Guo Li Quancheng Guo Luo Mai Hao Dong OffRL OnRL 15 6 0 18 Sep 2020
A Hybrid PAC Reinforcement Learning Algorithm A. Zehfroosh H. Tanner 20 0 0 05 Sep 2020
Multi-Loss Weighting with Coefficient of Variations R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink 16 54 0 03 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 33 11 0 30 Aug 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back Trevor A. McInroe 16 0 0 28 Aug 2020
Learning Obstacle Representations for Neural Motion Planning Robin Strudel Ricardo Garcia Pinel Justin Carpentier J. Laumond Ivan Laptev Cordelia Schmid SSL 12 35 0 25 Aug 2020
t-Soft Update of Target Network for Deep Reinforcement Learning Taisuke Kobayashi Wendyam Eric Lionel Ilboudo 89 50 0 25 Aug 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 37 28 0 21 Aug 2020
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing Qiang Liu T. Han Ning Zhang Ye Wang 10 38 0 17 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 36 37 0 16 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 18 279 0 15 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 23 83 0 12 Aug 2020
REMAX: Relational Representation for Multi-Agent Exploration Heechang Ryu Hayong Shin Jinkyoo Park 35 4 0 12 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 28 12 0 10 Aug 2020
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection Xinyi Xu Tiancheng Huang Pengfei Wei Akshay Narayan Tze-Yun Leong 19 5 0 08 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard Alex Church John Lloyd R. Hadsell Nathan Lepora 26 31 0 06 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 21 5 0 05 Aug 2020
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 31 47 0 30 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 19 27 0 27 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 11 14 0 27 Jul 2020