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 / 263 papers shown

Title
Diverse Policies Converge in Reward-free Markov Decision Processe Fanqing Lin Shiyu Huang Weiwei Tu 30 0 0 23 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 35 5 0 22 Aug 2023
Skill Transformer: A Monolithic Policy for Mobile Manipulation Xiaoyu Huang Dhruv Batra Akshara Rai Andrew Szot LM&Ro 38 21 0 19 Aug 2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration Félix Chalumeau Bryan Lim Raphael Boige Maxime Allard Luca Grillotti Manon Flageat Valentin Macé Arthur Flajolet Thomas Pierrot Antoine Cully 31 21 0 07 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 16 0 0 02 Aug 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 34 5 0 26 Jul 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming Yang Fahad Shahbaz Khan VLM 40 119 0 25 Jul 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 35 0 0 05 Jul 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Jesse Zhang Karl Pertsch Jiahui Zhang Joseph J. Lim LM&Ro 45 17 0 20 Jun 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 36 1 0 28 May 2023
Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata Caitlin Grasso Josh Bongard 31 0 0 24 May 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 33 22 0 21 May 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 35 0 0 21 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 27 3 0 30 Apr 2023
Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions Lina Mezghani Piotr Bojanowski Alahari Karteek Sainbayar Sukhbaatar LM&Ro OffRL LRM 23 8 0 18 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 38 6 0 14 Apr 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 41 20 0 03 Apr 2023
Learning to Explore Informative Trajectories and Samples for Embodied Perception Ya Jing Tao Kong 27 5 0 20 Mar 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 29 0 0 15 Mar 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 51 10 0 03 Mar 2023
Scalable Multi-Agent Reinforcement Learning with General Utilities Donghao Ying Yuhao Ding Alec Koppel Javad Lavaei 40 1 0 15 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 68 10 0 11 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 0 08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 24 9 0 08 Feb 2023
Layered State Discovery for Incremental Autonomous Exploration Liyu Chen Andrea Tirinzoni A. Lazaric Matteo Pirotta 34 0 0 07 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach Yigit Gurses Kaan Buyukdemirci Y. Yildiz 31 5 0 04 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z Leibo 26 2 0 02 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 42 62 0 02 Feb 2023
Learning Roles with Emergent Social Value Orientations Wenhao Li Xiangfeng Wang Bo Jin J. Lu H. Zha 23 3 0 31 Jan 2023
Skill Decision Transformer Shyam Sudhakaran S. Risi OffRL 29 5 0 31 Jan 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 26 19 0 26 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 49 18 0 05 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 47 5 0 05 Jan 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 26 5 0 29 Dec 2022
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization Xiaodong Li Pangjing Wu Chenxin Zou Qing Li 27 3 0 11 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans Megha Srivastava Erdem Biyik Suvir Mirchandani Noah D. Goodman Dorsa Sadigh 20 6 0 25 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 29 22 0 23 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 23 4 0 22 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 48 5 0 18 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 23 8 0 14 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 27 8 0 11 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 24 0 0 11 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 45 7 0 09 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 36 3 0 28 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 39 3 0 20 Oct 2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Bryan Lim Antoine Cully 27 13 0 18 Oct 2022