Environmental drivers of systematicity and generalization in a situated agent

1 October 2019

Papers citing "Environmental drivers of systematicity and generalization in a situated agent"

42 / 42 papers shown

Title
Predictive Chemistry Augmented with Text Retrieval Yujie Qian Zhening Li Zhengkai Tu Connor W. Coley Regina Barzilay 23 7 0 08 Dec 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 46 5 0 18 May 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 21 4 0 27 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima Julian Zubek Tomasz Korbak J. Rączaszek-Leonardi 28 2 0 08 Mar 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 25 175 0 13 Feb 2023
Towards Learning Abstractions via Reinforcement Learning Erik Jergéus Leo Karlsson Oinonen Emil Carlsson Moa Johansson AI4CE 21 2 0 28 Dec 2022
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections Frank Röder Manfred Eppe CLL LRM 30 3 0 18 Nov 2022
Mind's Eye: Grounded Language Model Reasoning through Simulation Ruibo Liu Jason W. Wei S. Gu Te-Yen Wu Soroush Vosoughi Claire Cui Denny Zhou Andrew M. Dai ReLM LRM 121 80 0 11 Oct 2022
Using cognitive psychology to understand GPT-3 Marcel Binz Eric Schulz ELM LLMAG 252 443 0 21 Jun 2022
Zipfian environments for Reinforcement Learning Stephanie C. Y. Chan Andrew Kyle Lampinen Pierre Harvey Richemond Felix Hill OffRL 15 15 0 15 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 37 45 0 15 Mar 2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language Nathaniel Weir Xingdi Yuan Marc-Alexandre Côté Matthew J. Hausknecht Romain Laroche Ida Momennejad H. V. Seijen Benjamin Van Durme BDL 27 6 0 09 Mar 2022
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 37 26 0 31 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 29 12 0 02 Jan 2022
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning Grace W. Lindsay J. Merel T. Mrsic-Flogel M. Sahani SSL DRL 36 6 0 03 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 39 112 0 27 Nov 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 26 15 0 18 Oct 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics Sean Welleck Peter West Jize Cao Yejin Choi 32 28 0 28 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
ReaSCAN: Compositional Reasoning in Language Grounding Zhengxuan Wu Elisa Kreiss Desmond C. Ong Christopher Potts CoGe LRM 34 22 0 18 Sep 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization I. Oren Jonathan Herzig Jonathan Berant 35 31 0 06 Sep 2021
Generalization in Multimodal Language Learning from Simulation Aaron Eisermann Jae Hee Lee C. Weber S. Wermter 25 9 0 03 Aug 2021
Robotic Occlusion Reasoning for Efficient Object Existence Prediction Mengdi Li C. Weber Matthias Kerzel Jae Hee Lee Zheni Zeng Zhiyuan Liu S. Wermter 24 7 0 26 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 27 6 0 02 Jul 2021
Grounding Spatio-Temporal Language with Transformers Tristan Karch Laetitia Teodorescu Katja Hofmann Clément Moulin-Frier Pierre-Yves Oudeyer LM&Ro 22 11 0 16 Jun 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents Andrew Kyle Lampinen Stephanie C. Y. Chan Andrea Banino Felix Hill 24 47 0 28 May 2021
Auxiliary Tasks and Exploration Enable ObjectNav Joel Ye Dhruv Batra Abhishek Das Erik Wijmans 34 91 0 08 Apr 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell Rishabh Kabra Christopher P. Burgess Murray Shanahan OCL 30 29 0 08 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 188 27,929 0 26 Feb 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik Narasimhan 81 54 0 19 Jan 2021
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 47 5 0 15 Dec 2020
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task Dmitry Tsarkov Tibor Tihon Nathan Scales Nikola Momchev Danila Sinopalnikov Nathanael Scharli 18 17 0 15 Dec 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 53 88 0 05 Oct 2020
Systematic Generalization on gSCAN with Language Conditioned Embedding Tong Gao Qi Huang Raymond J. Mooney 24 22 0 11 Sep 2020
Word meaning in minds and machines Brenden M. Lake G. Murphy NAI 15 117 0 04 Aug 2020
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures Daniel Furrer Marc van Zee Nathan Scales Nathanael Scharli CoGe 26 113 0 17 Jul 2020
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning Borja G. Leon Murray Shanahan Francesco Belardinelli NAI AI4CE 31 28 0 12 Jun 2020
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation Boris Knyazev H. D. Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky 30 56 0 17 May 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 29 111 0 18 Mar 2020
A Benchmark for Systematic Generalization in Grounded Language Understanding Laura Ruis Jacob Andreas Marco Baroni Diane Bouchacourt Brenden M. Lake 19 138 0 11 Mar 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020