Loss is its own Reward: Self-Supervision for Reinforcement Learning

21 December 2016

Max Argus

Papers citing "Loss is its own Reward: Self-Supervision for Reinforcement Learning"

33 / 33 papers shown

Title
Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain Fangcheng Jin Yuqi Wang Peixin Ma Guodong Yang Pan Zhao En Li Zhengtao Zhang 29 0 0 14 Apr 2025
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control Zichen Jeff Cui Hengkai Pan Aadhithya Iyer Siddhant Haldar Lerrel Pinto VGen 26 10 0 18 Sep 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 17 20 0 17 Jan 2024
Representation Learning for Sequential Volumetric Design Tasks Md Ferdous Alam Yi Wang Linh Tran Chin-Yi Cheng Jieliang Luo 3DV 25 2 0 05 Sep 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 22 3 0 06 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 19 3 0 22 Jun 2023
Auxiliary task discovery through generate-and-test Banafsheh Rafiee Sina Ghiassian Jun Jin R. Sutton Jun-Jie Luo Adam White 13 0 0 25 Oct 2022
Towards advanced robotic manipulation Francisco Roldan Sanchez Stephen J. Redmond Kevin McGuinness Noel E. O'Connor 22 1 0 19 Sep 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 24 19 0 17 Aug 2022
MLGOPerf: An ML Guided Inliner to Optimize Performance Amir H. Ashouri Mostafa Elhoushi Yu-Wei Hua Xiang Wang Muhammad Asif Manzoor Bryan Chan Yaoqing Gao 23 13 0 18 Jul 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 79 145 0 28 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Transfer Dynamics in Emergent Evolutionary Curricula Aaron Dharna Amy K. Hoover Julian Togelius Lisa Soros 27 6 0 03 Mar 2022
Audio Self-supervised Learning: A Survey Shuo Liu Adria Mallol-Ragolta Emilia Parada-Cabeleiro Kun Qian Xingshuo Jing Alexander Kathan Bin Hu Bjoern W. Schuller SSL 29 106 0 02 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 40 11 0 01 Mar 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng-Tao Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 24 41 0 04 Nov 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 11 8 0 25 Oct 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 33 20 0 17 Sep 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl 6 16 0 06 Aug 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 15 133 0 01 Jul 2021
Investigating the Role of Negatives in Contrastive Representation Learning Jordan T. Ash Surbhi Goel A. Krishnamurthy Dipendra Kumar Misra SSL 21 49 0 18 Jun 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 18 38 0 14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 21 35 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 26 55 0 15 Oct 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 15 72 0 24 Jul 2020
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 33 434 0 02 Oct 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 13 2 0 27 Jun 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 27 549 0 12 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 15 228 0 04 Oct 2018
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 16 91 0 18 May 2017