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"

24 / 24 papers shown

Title
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 20 1 0 30 Sep 2024
Toward Universal and Interpretable World Models for Open-ended Learning Agents Lancelot Da Costa TPM 26 1 0 27 Sep 2024
Learning to Play Video Games with Intuitive Physics Priors Abhishek Jaiswal Nisheeth Srivastava OCL 23 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 36 7 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 20 27 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 20 4 0 08 Feb 2024
Regularity as Intrinsic Reward for Free Play Cansu Sancaktar J. Piater Georg Martius 42 2 0 03 Dec 2023
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks Allen Nie Yuhui Zhang Atharva Amdekar Chris Piech Tatsunori Hashimoto Tobias Gerstenberg 27 34 0 30 Oct 2023
Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai-Wen Zhao Yi-An Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 18 12 0 12 Jun 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language Kevin Ellis BDL LRM 21 16 0 05 Jun 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework Shengnan An Zeqi Lin B. Chen Qiang Fu Nanning Zheng Jian-Guang Lou 31 4 0 23 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 34 62 0 02 Feb 2023
Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning Bhavuk Kalra 16 0 0 23 Dec 2022
Language Models as Agent Models Jacob Andreas LLMAG 26 132 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 18 0 0 20 Jul 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation Cansu Sancaktar Sebastian Blaes Georg Martius LM&Ro 18 24 0 22 Jun 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw J. Cohen Thomas L. Griffiths 27 10 0 04 Apr 2022
Learning Relational Rules from Rewards Guillermo Puebla L. Doumas 14 0 0 25 Mar 2022
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 36 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 20 7 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 23 29 0 04 Feb 2021
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016