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Novelty Detection in Reinforcement Learning with World Models

12 October 2023

Papers citing "Novelty Detection in Reinforcement Learning with World Models"

29 / 29 papers shown

Title
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition Zeki Doruk Erden Donia Gasmi Boi Faltings CLL 68 1 0 13 May 2025
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Johannes Czech Bjarne Gregori Kristian Kersting 81 8 0 06 Jun 2024
Diffusion for World Modeling: Visual Details Matter in Atari Eloi Alonso Adam Jelley Vincent Micheli Anssi Kanervisto Amos Storkey Tim Pearce Franccois Fleuret 102 63 0 20 May 2024
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection L. Nasvytis Kai Sandbrink Jakob N. Foerster Tim Franzmeyer Christian Schroeder de Witt OffRL OODD 43 9 0 10 Apr 2024
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 55 12 0 28 Jun 2023
Reconstruction Error-based Anomaly Detection with Few Outlying Examples F. Angiulli Fabio Fassetti L. Ferragina UQCV AAML 60 5 0 17 May 2023
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 118 129 0 26 Oct 2022
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 139 185 0 01 Sep 2022
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty Jonathan C. Balloch Zhiyu Lin Mustafa Hussain Aarun Srinivas Robert Wright Xiangyu Peng Julia Kim Mark O. Riedl OffRL 48 16 0 23 Mar 2022
Evaluating the Use of Reconstruction Error for Novelty Localization Patrick Feeney M. C. Hughes 31 3 0 28 Jul 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 170 106 0 14 Jul 2021
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results Mohamad H. Danesh Alan Fern 131 14 0 11 Jul 2021
Detecting Rewards Deterioration in Episodic Reinforcement Learning Ido Greenberg Shie Mannor OffRL 51 13 0 22 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 111 861 0 05 Oct 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 91 416 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 658 18,276 0 19 Jun 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 81 125 0 24 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 82 129 0 19 Mar 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 66 101 0 18 Feb 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 79 557 0 03 Dec 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 68 364 0 03 Jul 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 81 288 0 06 Jun 2019
On Learning Invariant Representation for Domain Adaptation Haiying Zhao Rémi Tachet des Combes Kun Zhang Geoffrey J. Gordon OOD 66 157 0 27 Jan 2019
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 118 816 0 06 Dec 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 121 950 0 04 Sep 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 137 532 0 14 Jun 2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 85 557 0 18 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 725 132,199 0 12 Jun 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning Justin Fu John D. Co-Reyes Sergey Levine OffRL 58 155 0 03 Mar 2017