A Deep Hierarchical Approach to Lifelong Learning in Minecraft

25 April 2016

Papers citing "A Deep Hierarchical Approach to Lifelong Learning in Minecraft"

50 / 63 papers shown

Title
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning Zelin Wan Jin-Hee Cho Mu Zhu Ahmed H. Anwar Charles A. Kamhoua Munindar P. Singh AI4CE 23 0 0 08 Feb 2024
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 26 4 0 08 Oct 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 33 5 0 13 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 36 17 0 13 Jul 2023
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 42 29 0 18 Nov 2022
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning William Wong Praneet Dutta Octavian Voicu Yuri Chervonyi Cosmin Paduraru Jerry Luo OffRL AI4CE 34 5 0 16 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs Benjamin Fuhrer Yuval Shpigelman Chen Tessler Shie Mannor Gal Chechik E. Zahavi Gal Dalal 33 4 0 05 Jul 2022
Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing V. A. Kich J. C. Jesus Ricardo B. Grando A. H. Kolling Gabriel V. Heisler R. S. Guerra OffRL 30 2 0 24 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 41 45 0 13 Apr 2022
A Versatile Agent for Fast Learning from Human Instructors Yiwen Chen Zedong Zhang Hao-Kang Liu Jiayi Tan C. Chew Marcelo H. Ang Jr 12 0 0 01 Mar 2022
MuZero with Self-competition for Rate Control in VP9 Video Compression Amol Mandhane A. Zhernov Maribeth Rauh Chenjie Gu Miaosen Wang ... Jackson Broshear Julian Schrittwieser Thomas Hubert Oriol Vinyals Timothy A. Mann 31 43 0 14 Feb 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Zichuan Lin Junyou Li Jianing Shi Deheng Ye Qiang Fu Wei Yang BDL 45 34 0 07 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 76 0 26 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook M. G. Olsen K. Halvorsen Lei Jiao Kristian Muri Knausgård A. H. Martin M. Moyano Rebekah A. Oomen J. H. Rasmussen T. K. Sørdalen Susanna Huneide Thorbjørnsen 22 27 0 29 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 36 93 0 14 Sep 2021
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents Hugo Laurençon Charbel-Raphaël Ségerie J. Lussange Boris Gutkin 36 6 0 14 Sep 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 17 89 0 23 May 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 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 29 33 0 12 Feb 2021
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 24 11 0 20 Oct 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 12 65 0 20 Jul 2020
Task-agnostic Exploration in Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla OffRL 20 49 0 16 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 120 0 24 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 154 458 0 10 Mar 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 27 17 0 22 Oct 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control Yu-Wei Chao Jimei Yang Weifeng Chen Jia Deng 24 42 0 20 Aug 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Guss Brandon Houghton Nicholay Topin Phillip Wang Cayden R. Codel Manuela Veloso Ruslan Salakhutdinov OffRL 19 218 0 29 Jul 2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents Jonathan Gray Kavya Srinet Yacine Jernite Haonan Yu Zhuoyuan Chen Demi Guo Siddharth Goyal C. L. Zitnick Arthur Szlam 38 39 0 19 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity Yu-xiong Wang Deva Ramanan M. Hebert CLL 29 148 0 18 Jul 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 24 503 0 18 May 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 22 7 0 26 Feb 2019
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning Ryuichi Takanobu Tao Zhuang Minlie Huang Jun Feng Haihong Tang Bo Zheng 25 17 0 24 Feb 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback Dilip Arumugam Jun Ki Lee S. Saskin Michael L. Littman 28 94 0 12 Feb 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems Boyi Liu Lujia Wang Ming Liu 27 245 0 19 Jan 2019
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning Daniel Gordon Dieter Fox Ali Farhadi 19 20 0 06 Jan 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 22 80 0 12 Dec 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 21 808 0 07 Sep 2018
Context-Aware Policy Reuse Siyuan Li Fangda Gu Guangxiang Zhu Chongjie Zhang OffRL 27 36 0 11 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 53 797 0 21 May 2018
Hierarchical Reinforcement Learning with Deep Nested Agents Marc Brittain Peng Wei BDL 19 1 0 18 May 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 39 316 0 31 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,306 0 12 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 29 116 0 03 Mar 2018
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 29 449 0 28 Feb 2018