Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

27 July 2021

Papers citing "Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning"

29 / 29 papers shown

Title
Modeling Others' Minds as Code Kunal Jha Aydan Yuenan Huang Eric Ye Natasha Jaques Max Kleiman-Weiner SyDa 41 0 0 29 Sep 2025
Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems? Jesse Gardner Vladimir A. Baulin LM&Ro 40 0 0 13 Sep 2025
Language and Experience: A Computational Model of Social Learning in Complex Tasks Cédric Colas Tracey Mills Ben Prystawski Michael Henry Tessler Noah D. Goodman Jacob Andreas Joshua B. Tenenbaum 36 0 0 26 Aug 2025
Analogy making as amortised model construction David G. Nagy Tingke Shen Hanqi Zhou Charley M. Wu Peter Dayan 13 0 0 22 Jul 2025
Assessing Adaptive World Models in Machines with Novel Games Lance Ying Katherine M. Collins Prafull Sharma Cédric Colas Kaiya Ivy Zhao ... Jacob Andreas Thomas Griffiths François Chollet Kelsey R. Allen J. Tenenbaum 123 4 0 17 Jul 2025
WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making Guillaume Levy Cédric Colas Pierre-Yves Oudeyer Thomas Carta Clément Romac LRM 86 0 0 07 Jun 2025
The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Vladimir Baulin Austin Cook Daniel Friedman Janna Lumiruusu Andrew Pashea Shagor Rahman Benedikt Waldeck 125 1 0 23 May 2025
Possible Principles for Aligned Structure Learning Agents Lancelot Da Costa Tomáš Gavenčiak David Hyland Mandana Samiei Cristian Dragos-Manta Candice Pattisapu Adeel Razi Karl J. Friston 254 2 0 30 Sep 2024
Toward Universal and Interpretable World Models for Open-ended Learning Agents Lancelot Da Costa TPM 207 2 0 27 Sep 2024
Learning to Play Video Games with Intuitive Physics Priors Abhishek Jaiswal Nisheeth Srivastava OCL 100 1 0 20 Sep 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search Nicola Dainese Matteo Merler Minttu Alakuijala Pekka Marttinen LLMAG 144 17 0 24 May 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment Hao Tang Darren Key Kevin Ellis LLMAG 197 62 0 19 Feb 2024
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference Emily S. Sumner Jonathan A. DeCastro Jean Costa Deepak Gopinath Everlyne Kimani ... H. Yasuda Katharine Sieck Avinash Balachandran Tiffany Chen Guy Rosman 96 7 0 08 Feb 2024
Regularity as Intrinsic Reward for Free PlayNeural Information Processing Systems (NeurIPS), 2023 Cansu Sancaktar J. Piater Georg Martius 144 6 0 03 Dec 2023
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksNeural Information Processing Systems (NeurIPS), 2023 Allen Nie Yuhui Zhang Atharva Amdekar Chris Piech Tatsunori Hashimoto Tobias Gerstenberg 150 51 0 30 Oct 2023
Improving Offline-to-Online Reinforcement Learning with Q-EnsemblesAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Kai-Wen Zhao Yi-An Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 206 18 0 12 Jun 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural LanguageNeural Information Processing Systems (NeurIPS), 2023 Kevin Ellis BDL LRM 132 21 0 05 Jun 2023
Meta-Learned Models of CognitionBehavioral and Brain Sciences (BBS), 2023 Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 180 37 0 12 Apr 2023
Does Deep Learning Learn to Abstract? A Systematic Probing FrameworkInternational Conference on Learning Representations (ICLR), 2023 Shengnan An Zeqi Lin B. Chen Qiang Fu Nanning Zheng Jian-Guang Lou 138 6 0 23 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Haichao Zhang Weiwen Xu Haonan Yu OffRL OnRL CLL 320 87 0 02 Feb 2023
Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning Bhavuk Kalra 141 0 0 23 Dec 2022
Language Models as Agent ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Jacob Andreas LLMAG 183 162 0 03 Dec 2022
Learning Latent Traits for Simulated Cooperative Driving Tasks Jonathan A. DeCastro Deepak Gopinath Guy Rosman Emily S. Sumner Shabnam Hakimi Simon Stent 93 0 0 20 Jul 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object ManipulationNeural Information Processing Systems (NeurIPS), 2022 Cansu Sancaktar Sebastian Blaes Georg Martius LM&Ro 208 34 0 22 Jun 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 164 11 0 04 Apr 2022
Learning Relational Rules from Rewards Guillermo Puebla L. Doumas 109 0 0 25 Mar 2022
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 118 6 0 15 Sep 2021
Learning to solve complex tasks by growing knowledge culturally across generations Michael Henry Tessler Jason Madeano Pedro Tsividis Brin Harper Noah D. Goodman J. Tenenbaum 89 9 0 28 Jul 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 165 37 0 04 Feb 2021