Abstraction for Deep Reinforcement Learning

10 February 2022

Papers citing "Abstraction for Deep Reinforcement Learning"

18 / 18 papers shown

Title
A Representationalist, Functionalist and Naturalistic Conception of Intelligence as a Foundation for AGI Rolf Pfister 53 0 0 10 Mar 2025
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents Olivier Sigaud Gianluca Baldassarre Cédric Colas Stéphane Doncieux Richard J. Duro Pierre-Yves Oudeyer Nicolas Perrin-Gilbert V. Santucci AI4CE 24 10 0 01 Nov 2023
Multi Time Scale World Models Vaisakh Shaj Saleh Gholam Zadeh Ozan Demir L. R. Douat Gerhard Neumann AI4CE 23 3 0 27 Oct 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 36 24 0 28 Jun 2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Mohamed K. Abdel-Aziz Mohammed S. Elbamby S. Samarakoon M. Bennis 18 4 0 20 Jun 2023
Schema-learning and rebinding as mechanisms of in-context learning and emergence Siva K. Swaminathan Antoine Dedieu Rajkumar Vasudeva Raju Murray Shanahan Miguel Lazaro-Gredilla Dileep George 34 8 0 16 Jun 2023
Strategy Extraction in Single-Agent Games Archana Vadakattu Michelle L. Blom A. Pearce 6 1 0 22 May 2023
Graph schemas as abstractions for transfer learning, inference, and planning J. S. Guntupalli Rajkumar Vasudeva Raju Shrinu Kushagra Carter Wendelken Daniel P. Sawyer Ishani Deshpande Guangyao Zhou Miguel Lazaro-Gredilla Dileep George 29 9 0 14 Feb 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 52 14 0 08 Dec 2022
Talking About Large Language Models Murray Shanahan AI4CE 21 243 0 07 Dec 2022
Language Models Understand Us, Poorly Jared Moore LRM 9 4 0 19 Oct 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Bo-wen Li Ding Zhao LRM 23 37 0 19 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 18 11 0 12 Jul 2022
Language and Culture Internalisation for Human-Like Autotelic AI Cédric Colas Tristan Karch Clément Moulin-Frier Pierre-Yves Oudeyer LM&Ro 30 24 0 02 Jun 2022
AIGenC: An AI generalisation model via creativity Corina Catarau-Cotutiu Esther Mondragón Eduardo Alonso 14 1 0 19 May 2022
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 154 98 0 01 Mar 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 254 0 09 Dec 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017