Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

10 March 2020

Papers citing "Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey"

39 / 239 papers shown

Title
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 33 50 0 25 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 155 0 18 Nov 2021
Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework Mohammad Karimzadeh Farshbafan Walid Saad Merouane Debbah 19 27 0 15 Nov 2021
Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning Yuzi Yan Xiaoxiang Li Xinyou Qiu Jiantao Qiu Jian Wang Yu Wang Yuan-Chung Shen 15 16 0 14 Nov 2021
On the Statistical Benefits of Curriculum Learning Ziping Xu Ambuj Tewari 21 9 0 13 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 44 58 0 26 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K. Zentner Ryan C. Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 27 3 0 19 Oct 2021
Situated Dialogue Learning through Procedural Environment Generation Prithviraj Ammanabrolu Renee Jia Mark O. Riedl 109 14 0 07 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 39 230 0 26 Sep 2021
Competence-based Curriculum Learning for Multilingual Machine Translation Mingliang Zhang Fandong Meng Y. Tong Jie Zhou 26 16 0 09 Sep 2021
An Approach to Partial Observability in Games: Learning to Both Act and Observe Elizabeth Gilmour Noah Plotkin L. Smith 11 1 0 11 Aug 2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications Gaurav Yengera R. Devidze Parameswaran Kamalaruban Adish Singla 12 7 0 08 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning Matthias Muller-Brockhausen Mike Preuss Aske Plaat 19 9 0 31 May 2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet Xintong Yang Ze Ji Jing Wu Yu-Kun Lai 16 15 0 12 May 2021
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions Anil Öztürk Mustafa Burak Gunel Resul Dagdanov Mirac Ekim Vural Ferhat Yurdakul Melih Dal N. K. Üre OffRL 30 6 0 14 Mar 2021
A Taxonomy of Similarity Metrics for Markov Decision Processes Á. Visús Javier García Fernando Fernández 8 12 0 08 Mar 2021
Reinforcement Learning Control of a Forestry Crane Manipulator Jennifer Andersson K. Bodin Daniel M. Lindmark Martin Servin Erik Wallin 14 20 0 03 Mar 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Carlo DÉramo Jan Peters J. Pajarinen 40 23 0 25 Feb 2021
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation Nikola Vulin Sammy Christen Stefan Stevšić Otmar Hilliges 15 19 0 22 Feb 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 84 10 0 17 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 70 341 0 25 Jan 2021
Curriculum-based Deep Reinforcement Learning for Quantum Control Hailan Ma D. Dong S. Ding Chunlin Chen 39 35 0 31 Dec 2020
Reinforcement Learning for Control of Valves Rajesh Siraskar AI4CE 17 28 0 29 Dec 2020
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning Vasanth Sarathy Daniel Kasenberg Shivam Goel Jivko Sinapov matthias. scheutz OffRL 12 31 0 24 Dec 2020
Reinforcement Learning with Subspaces using Free Energy Paradigm Milad Ghorbani Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 16 0 0 13 Dec 2020
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 17 15 0 12 Nov 2020
Occlusion-Aware Search for Object Retrieval in Clutter Wissam Bejjani Wisdom C. Agboh M. Dogar Matteo Leonetti 13 34 0 06 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 27 22 0 25 Oct 2020
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning Daniele Reda Tianxin Tao M. van de Panne AI4CE 6 52 0 09 Oct 2020
Guided Curriculum Learning for Walking Over Complex Terrain Brendan Tidd N. Hudson Akansel Cosgun 15 13 0 08 Oct 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 19 28 0 21 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 13 17 0 11 Aug 2020
Curriculum Learning with a Progression Function Andrea Bassich Francesco Foglino Matteo Leonetti D. Kudenko ODL 26 6 0 02 Aug 2020
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning Matthias Hutsebaut-Buysse Kevin Mets Steven Latré LM&Ro OffRL OnRL 17 6 0 10 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 27 125 0 22 Jun 2020
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search T. Gogineni Ziping Xu E. Punzalan Runxuan Jiang Joshua A Kammeraad Ambuj Tewari Paul M. Zimmerman AI4CE 11 32 0 12 Jun 2020
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017