Ready Policy One: World Building Through Active Learning

7 February 2020

Papers citing "Ready Policy One: World Building Through Active Learning"

30 / 30 papers shown

Title
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 124 1,356 0 03 Dec 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 81 32 0 01 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 71 36 0 29 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 66 58 0 04 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 220 415 0 25 Sep 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 68 364 0 03 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 98 956 0 19 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 81 384 0 10 Jun 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 132 866 0 01 Mar 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 136 2,445 0 13 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,446 0 12 Nov 2018
A Closer Look at Deep Policy Gradients Andrew Ilyas Logan Engstrom Shibani Santurkar Dimitris Tsipras Firdaus Janoos Larry Rudolph Aleksander Madry 69 51 0 06 Nov 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 86 179 0 29 Oct 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 74 228 0 14 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 121 950 0 04 Sep 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 69 706 0 13 Aug 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 63 146 0 07 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 226 1,284 0 30 May 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 64 317 0 28 Feb 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 84 452 0 28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,396 0 04 Jan 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 118 1,961 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,237 0 20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,439 0 15 May 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 625 0 03 Mar 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 82 1,695 0 22 Apr 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 99 402 0 29 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,793 0 19 Feb 2015
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments Yi Sun Faustino J. Gomez Jürgen Schmidhuber 111 163 0 29 Mar 2011