Learning with AMIGo: Adversarially Motivated Intrinsic Goals

22 June 2020

Papers citing "Learning with AMIGo: Adversarially Motivated Intrinsic Goals"

29 / 79 papers shown

Title
State-Conditioned Adversarial Subgoal Generation V. Wang Joni Pajarinen Tinghuai Wang Joni-Kristian Kämäräinen 47 11 0 24 Jan 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 30 43 0 21 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian C. Miao 16 10 0 20 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 33 132 0 20 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Learning Continuous Environment Fields via Implicit Functions Xueting Li Shalini De Mello Xiaolong Wang Ming-Hsuan Yang Jan Kautz Sifei Liu 24 12 0 27 Nov 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen Yuanxin Zhang Yuanfan Xu Huimin Ma Huazhong Yang Jiaming Song Yu Wang Yi Wu VLM DRL 18 32 0 08 Nov 2021
Situated Dialogue Learning through Procedural Environment Generation Prithviraj Ammanabrolu Renee Jia Mark O. Riedl 109 14 0 07 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 34 4 0 06 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
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits Simon Ståhlberg Blai Bonet Hector Geffner 41 48 0 21 Sep 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 31 181 0 27 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 32 8 0 12 Jul 2021
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft I. Kanitscheider Joost Huizinga David Farhi William H. Guss Brandon Houghton ... Bowen Baker Adrien Ecoffet Jie Tang Oleg Klimov Jeff Clune 21 21 0 28 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 32 42 0 18 Jun 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness Mathieu Seurin Florian Strub Philippe Preux Olivier Pietquin 27 9 0 20 May 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 21 1 0 14 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
ELLA: Exploration through Learned Language Abstraction Suvir Mirchandani Siddharth Karamcheti Dorsa Sadigh LLMAG 21 57 0 10 Mar 2021
Adversarial Environment Generation for Learning to Navigate the Web Izzeddin Gur Natasha Jaques Kevin Malta Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 37 17 0 02 Mar 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux M. Geist 27 70 0 08 Feb 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha Wenye Ma Lei Yuan Xia Hu Ji Liu 14 43 0 20 Jan 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 29 85 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 30 40 0 15 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 22 222 0 03 Dec 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 16 152 0 08 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 12 9 0 03 Oct 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 152 458 0 10 Mar 2020
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Rohan Chitnis Tom Silver J. Tenenbaum L. Kaelbling Tomas Lozano-Perez LM&Ro 22 4 0 22 Jan 2020