Learning to Execute: Efficient Learning of Universal Plan-Conditioned
Policies in Robotics

Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics

15 November 2021

Ingmar Schubert

Papers citing "Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics"

18 / 18 papers shown

Title
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks Ingmar Schubert Ozgur S. Oguz Marc Toussaint OffRL 43 5 0 14 Jul 2021
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 50 403 0 12 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 277 42,038 0 03 Dec 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 98 218 0 19 Nov 2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation Rae Jeong Y. Aytar D. Khosid Yuxiang Zhou Jackie Kay Thomas Lampe Konstantinos Bousmalis F. Nori SSL 27 57 0 21 Oct 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 53 20 0 03 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 55 939 0 19 Jun 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 68 396 0 05 Mar 2019
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 72 137 0 08 Dec 2018
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 40 53 0 22 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 49 143 0 07 Jun 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 87 238 0 25 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 222 8,236 0 04 Jan 2018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 57 289 0 11 Oct 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 222 2,307 0 05 Jul 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 62 264 0 10 Apr 2017
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 48 249 0 11 Oct 2016
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search Tianhao Zhang G. Kahn Sergey Levine Pieter Abbeel 53 427 0 22 Sep 2015

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