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Diversity is All You Need: Learning Skills without a Reward Function

16 February 2018

Abhishek Gupta

Papers citing "Diversity is All You Need: Learning Skills without a Reward Function"

50 / 414 papers shown

Title
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 65 15 0 04 May 2022
Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery Daesol Cho Jigang Kim H. J. Kim OffRL SSL 104 17 0 29 Apr 2022
Empowered Neural Cellular Automata Caitlin Grasso Josh Bongard 56 6 0 27 Apr 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL Homanga Bharadhwaj Mohammad Babaeizadeh D. Erhan Sergey Levine 91 31 0 18 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 60 1 0 13 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 110 51 0 13 Apr 2022
Hierarchical Quality-Diversity for Online Damage Recovery Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Antoine Cully 64 12 0 12 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 85 30 0 04 Apr 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 114 16 0 25 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 73 5 0 23 Mar 2022
One After Another: Learning Incremental Skills for a Changing World Nur Muhammad (Mahi) Shafiullah Lerrel Pinto CLL 76 13 0 21 Mar 2022
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations Junchi Liang Bowen Wen Kostas Bekris Abdeslam Boularias SSL 67 14 0 08 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 123 11 0 01 Mar 2022
LISA: Learning Interpretable Skill Abstractions from Language Divyansh Garg Skanda Vaidyanath Kuno Kim Jiaming Song Stefano Ermon LM&Ro OffRL 235 30 0 28 Feb 2022
Continual Auxiliary Task Learning Matt McLeod Chun-Ping Lo M. Schlegel Andrew Jacobsen Raksha Kumaraswamy Martha White Adam White CLL 62 9 0 22 Feb 2022
Reward-Free Policy Space Compression for Reinforcement Learning Mirco Mutti Stefano Del Col Marcello Restelli 41 3 0 22 Feb 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation Yuqing Du Pieter Abbeel Aditya Grover 109 18 0 22 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 101 7 0 16 Feb 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents Ahmed Akakzia Olivier Serris Olivier Sigaud Cédric Colas 52 6 0 10 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 128 7 0 10 Feb 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis 86 54 0 08 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 288 66 0 07 Feb 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning S. Chen Jensen Gao S. Reddy Glen Berseth Anca Dragan Sergey Levine OffRL 86 12 0 05 Feb 2022
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation Ziad Al-Halah Santhosh Kumar Ramakrishnan Kristen Grauman VLM 116 82 0 05 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 89 23 0 03 Feb 2022
Accelerated Quality-Diversity through Massive Parallelism Bryan Lim Maxime Allard Luca Grillotti Antoine Cully 83 17 0 02 Feb 2022
Improving Parametric Neural Networks for High-Energy Physics (and Beyond) Luca Anzalone T. Diotalevi D. Bonacorsi 53 3 0 01 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 164 69 0 01 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats David Brandfonbrener Hao Liu Michael Laskin Pieter Abbeel A. Lazaric Lerrel Pinto OffRL OnRL 103 94 0 31 Jan 2022
Do You Need the Entropy Reward (in Practice)? Haonan Yu Haichao Zhang Wei Xu 85 8 0 28 Jan 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 105 46 0 20 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 104 144 0 20 Jan 2022
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal Tong Mu Stephan Zheng Alexander R. Trott 42 3 0 18 Jan 2022
Attention Option-Critic Raviteja Chunduru Doina Precup 68 10 0 07 Jan 2022
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates Safa Alver Doina Precup OffRL 62 17 0 30 Dec 2021
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination Rui Zhao Jinming Song Yufeng Yuan Haifeng Hu Yang Gao Yi Wu Zhongqian Sun Yang Wei 95 69 0 22 Dec 2021
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions Tom Bewley Freddy Lecue OffRL 58 12 0 20 Dec 2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 89 30 0 09 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 77 26 0 06 Dec 2021
Automatic Goal Generation using Dynamical Distance Learning Bharat Prakash Nicholas R. Waytowich T. Mohsenin Tim Oates 41 2 0 07 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 124 95 0 28 Oct 2021
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 97 6 0 28 Oct 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner Timothy D. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 114 56 0 28 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 86 140 0 28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 93 42 0 27 Oct 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 70 11 0 27 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 113 18 0 27 Oct 2021
The Value of Information When Deciding What to Learn Dilip Arumugam Benjamin Van Roy 70 12 0 26 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu Hao Shen Donglin Wang Yachen Kang Qiangxing Tian 85 19 0 25 Oct 2021
Mixture-of-Variational-Experts for Continual Learning Y. Yin Yu Wang CLL FedML 59 6 0 25 Oct 2021