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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
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 108 55 0 08 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 134 207 0 08 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 74 27 0 25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 83 26 0 24 Feb 2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning Kevin R. McKee Joel Z Leibo Charlie Beattie Richard Everett 95 35 0 16 Feb 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 84 33 0 12 Feb 2021
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng Yun Hua H. Zha 47 5 0 09 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 77 73 0 08 Feb 2021
Discovering a set of policies for the worst case reward Tom Zahavy André Barreto D. Mankowitz Shaobo Hou Brendan O'Donoghue Iurii Kemaev Satinder Singh OffRL 61 23 0 08 Feb 2021
Sparse Reward Exploration via Novelty Search and Emitters Giuseppe Paolo Alexandre Coninx Stéphane Doncieux Alban Laflaquière 78 19 0 05 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 223 82 0 16 Jan 2021
Multiple Plans are Better than One: Diverse Stochastic Planning Mahsa Ghasemi Evan Scope Crafts Bo Zhao Ufuk Topcu 82 7 0 31 Dec 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric 48 13 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 146 324 0 25 Dec 2020
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 101 10 0 18 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 154 95 0 17 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 81 40 0 15 Dec 2020
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication T. V. D. Heiden Christoph Salge E. Gavves H. V. Hoof 48 9 0 15 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 79 43 0 14 Dec 2020
Reset-Free Lifelong Learning with Skill-Space Planning Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch CLL OffRL 115 38 0 07 Dec 2020
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 114 237 0 03 Dec 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 95 20 0 27 Nov 2020
A User's Guide to Calibrating Robotics Simulators Bhairav Mehta Ankur Handa Dieter Fox F. Ramos 55 12 0 17 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 112 3 0 16 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 75 8 0 16 Nov 2020
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity F. Fischer Miroslav Bachinski Markus Klar A. Fleig Jorg Muller 46 46 0 13 Nov 2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning Shinya Shiroshita Shirou Maruyama D. Nishiyama M. Castro Karim Hamzaoui Guy Rosman Jonathan A. DeCastro Kuan-Hui Lee Adrien Gaidon 128 19 0 11 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 83 34 0 10 Nov 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani Jian Peng Yuanshuo Zhou 80 11 0 05 Nov 2020
Diversity-Enriched Option-Critic Anand Kamat Doina Precup OffRL 35 6 0 04 Nov 2020
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen Abhinav Gupta Kenneth Marino OffRL 104 40 0 01 Nov 2020
Abstract Value Iteration for Hierarchical Reinforcement Learning Kishor Jothimurugan Osbert Bastani Rajeev Alur 51 23 0 29 Oct 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 77 95 0 27 Oct 2020
Affordance as general value function: A computational model D. Graves Johannes Günther Jun Luo AI4CE 48 6 0 27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 114 40 0 27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 103 160 0 26 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 97 8 0 15 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 87 27 0 14 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 92 38 0 13 Oct 2020
Variational Intrinsic Control Revisited Taehwan Kwon 51 12 0 07 Oct 2020
Safety Aware Reinforcement Learning (SARL) Santiago Miret Somdeb Majumdar Carroll L. Wainwright 61 1 0 06 Oct 2020
SHERLock: Self-Supervised Hierarchical Event Representation Learning Sumegh Roychowdhury Sumedh Anand Sontakke Nikaash Puri Mausoom Sarkar Milan Aggarwal Pinkesh Badjatiya Balaji Krishnamurthy Laurent Itti SSL DRL 65 1 0 06 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 91 53 0 03 Sep 2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems Sandhya Saisubramanian S. Zilberstein Ece Kamar 99 22 0 24 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices Emmy Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 120 67 0 06 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion Roland Hafner Tim Hertweck Philipp Kloppner Michael Bloesch Michael Neunert Markus Wulfmeier S. Tunyasuvunakool N. Heess Martin Riedmiller 85 20 0 06 Aug 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 95 4 0 27 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 58 8 0 14 Jul 2020
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones Ugurkan Ates 95 10 0 11 Jul 2020