Title
Probabilistic Shielding for Safe Reinforcement Learning Edwin Hamel-De le Court Francesco Belardinelli Alex W. Goodall 39 0 0 09 Mar 2025
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 81 270 0 09 Jan 2025
Structured World Models from Human Videos Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 35 86 0 21 Aug 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 30 28 0 14 Aug 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 34 5 0 20 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Level Generation Through Large Language Models Graham Todd Sam Earle Muhammad Umair Nasir M. Green Julian Togelius 19 73 0 11 Feb 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 13 1 0 03 Feb 2023
Neuro-Symbolic World Models for Adapting to Open World Novelty Jonathan C. Balloch Zhiyu Lin Robert Wright Xiangyu Peng Mustafa Hussain Aarun Srinivas Julia Kim Mark O. Riedl 11 10 0 16 Jan 2023
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective Ying Wen Ziyu Wan M. Zhou Shufang Hou Zhe Cao Chenyang Le Jingxiao Chen Zheng Tian Weinan Zhang J. Wang AI4CE 18 10 0 24 Dec 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 18 52 0 03 Nov 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 27 3 0 24 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Goal-Space Planning with Subgoal Models Chun-Ping Lo Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Gábor Mihucz Farzane Aminmansour Martha White 11 5 0 06 Jun 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 54 785 0 12 May 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 25 10 0 24 Jan 2022
Bayesian sense of time in biological and artificial brains Z. Fountas Alexey Zakharov 32 0 0 14 Jan 2022
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 32 23 0 11 Oct 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 23 38 0 31 Jul 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 21 43 0 27 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi-An Ma 19 22 0 08 Jul 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 16 66 0 02 Jul 2021
Solving Sokoban with forward-backward reinforcement learning Yaron Shoham G. Elidan OffRL 32 6 0 05 May 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 20 46 0 20 Apr 2021
Self-Imitation Learning by Planning Junhyuk Oh Yijie Guo Satinder Singh SSL 22 86 0 25 Mar 2021
Policy-Guided Heuristic Search with Guarantees Laurent Orseau Levi H. S. Lelis 18 26 0 21 Mar 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
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 22 66 0 02 Mar 2021
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 219 68 0 23 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 33 809 0 05 Oct 2020
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control Simón C. Smith S. Ramamoorthy 20 13 0 18 Sep 2020
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning Tan Tang Renzhong Li Xinke Wu Shuhan Liu Johannes Knittel Steffen Koch Thomas Ertl Lingyun Yu Peiran Ren Yingcai Wu 33 52 0 01 Sep 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 19 5 0 12 Jul 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 13 100 0 09 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 13 32 0 26 May 2020
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness Zheng Zhang Lizi Liao Xiaoyan Zhu Tat-Seng Chua Zitao Liu Yan Huang Minlie Huang LLMAG 30 18 0 21 Apr 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong A. Schwing Jian Peng DRL 10 5 0 21 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 21 32 0 07 Feb 2020
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 30 34 0 23 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs Aniruddha Kembhavi Kiana Ehsani Sarah M Pratt Winson Han Alvaro Herrasti Eric Kolve Dustin Schwenk Roozbeh Mottaghi Ali Farhadi 16 9 0 17 Dec 2019
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 17 47 0 05 Dec 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 28 346 0 04 Nov 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 6 41 0 09 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations Venktesh Pandey Evana Wang S. Boyles 11 39 0 10 Sep 2019