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Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification

23 March 2021

Papers citing "Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification"

31 / 31 papers shown

Title
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 129 4 0 06 Nov 2023
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 93 15 0 23 Apr 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 102 24 0 12 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 89 69 0 27 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 66 71 0 17 Nov 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 223 1,377 0 15 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 91 1,087 0 08 Apr 2020
Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov Ofir Nachum Jonathan Tompson OOD OffRL 152 204 0 10 Dec 2019
Positive-Unlabeled Reward Learning Danfei Xu Misha Denil 72 38 0 01 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 244 1,179 0 24 Oct 2019
Task-Relevant Adversarial Imitation Learning Konrad Zolna Scott E. Reed Alexander Novikov Sergio Gomez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyun Wang GAN 153 61 0 02 Oct 2019
Off-Policy Evaluation via Off-Policy Classification A. Irpan Kanishka Rao Konstantinos Bousmalis Chris Harris Julian Ibarz Sergey Levine OffRL 53 50 0 04 Jun 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 70 24 0 20 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 77 267 0 16 Apr 2019
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 65 111 0 02 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 63 211 0 02 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 89 70 0 30 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 87 260 0 09 Sep 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 50 125 0 29 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,204 0 26 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
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? Roberto Calandra Andrew Owens M. Upadhyaya Wenzhen Yuan Justin Lin Edward H. Adelson Sergey Levine 125 198 0 16 Oct 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 139 1,100 0 28 Sep 2017
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 47 577 0 16 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 154 3,115 0 10 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 69 209 0 08 Jun 2016
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 84 338 0 28 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,272 0 09 Sep 2015
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 80 406 0 17 Jul 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,232 0 02 Nov 2010