v1v2v3v4v5v6 (latest)

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
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 92 42 0 20 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 101 65 0 20 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 101 127 0 18 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 184 171 0 15 Oct 2021
Temporal Abstraction in Reinforcement Learning with the Successor Representation Marlos C. Machado André Barreto Doina Precup Michael Bowling 103 42 0 12 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 112 25 0 08 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 162 112 0 07 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 118 35 0 06 Oct 2021
Automatic Discovery and Description of Human Planning Strategies Julian Skirzyñski Y. Jain Falk Lieder 50 1 0 29 Sep 2021
Learning Periodic Tasks from Human Demonstrations Jingyun Yang Junwu Zhang Connor Settle Akshara Rai Rika Antonova Jeannette Bohg 153 25 0 28 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 135 60 0 28 Sep 2021
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 146 63 0 28 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 160 24 0 21 Sep 2021
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures Chapman Siu Jason M. Traish R. Xu OffRL 28 0 0 19 Sep 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 78 20 0 17 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 86 103 0 14 Sep 2021
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms Sumedh Anand Sontakke Sumegh Roychowdhury Mausoom Sarkar Nikaash Puri Balaji Krishnamurthy Laurent Itti 67 1 0 08 Sep 2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning Ning Wei Jiahua Liang Di Xie Shiliang Pu 50 0 0 06 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 110 123 0 31 Aug 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 83 7 0 30 Aug 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning Martin Riedmiller Jost Tobias Springenberg Roland Hafner N. Heess OffRL 85 18 0 23 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei Chenxi Liu Silvio Savarese 138 34 0 13 Aug 2021
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning Willie McClinton Andrew Levy George Konidaris 42 5 0 12 Aug 2021
Communicating via Markov Decision Processes Samuel Sokota Christian Schroeder de Witt Maximilian Igl L. Zintgraf Philip Torr Martin Strohmeier J. Zico Kolter Shimon Whiteson Jakob N. Foerster 54 10 0 17 Jul 2021
Adaptable Agent Populations via a Generative Model of Policies Kenneth Derek Phillip Isola 102 16 0 15 Jul 2021
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments F. Massari Martin Biehl L. Meeden Ryota Kanai 53 0 0 14 Jul 2021
Motion Planning by Learning the Solution Manifold in Trajectory Optimization Takayuki Osa 51 22 0 13 Jul 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 73 8 0 12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 77 6 0 07 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 73 27 0 04 Jul 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 72 5 0 30 Jun 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 91 34 0 27 Jun 2021
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning Jiajun Fan Changnan Xiao Yue Huang OffRL 91 10 0 11 Jun 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 81 6 0 09 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 70 289 0 09 Jun 2021
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games Xiangyu Liu Hangtian Jia Ying Wen Yaodong Yang Yujing Hu Yingfeng Chen Changjie Fan Zhipeng Hu 79 19 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 113 118 0 09 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 68 12 0 06 Jun 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chengjie Wu Qianchuan Zhao Jun Yang Chongjie Zhang 72 146 0 04 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 74 27 0 04 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 67 21 0 02 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 196 1,669 0 02 Jun 2021
Reward is enough for convex MDPs Tom Zahavy Brendan O'Donoghue Guillaume Desjardins Satinder Singh 134 76 0 01 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 117 134 0 25 May 2021
Discovering Diverse Athletic Jumping Strategies Zhiqi Yin Zeshi Yang M. van de Panne KangKang Yin 94 46 0 02 May 2021
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution Nemanja Rakićević Antoine Cully Petar Kormushev 54 34 0 27 Apr 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning Songan Zhang Lu Wen H. Peng H. E. Tseng 41 10 0 18 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen 92 23 0 11 Apr 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 75 30 0 09 Apr 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 84 72 0 14 Mar 2021