Temporal Difference Variational Auto-Encoder

8 June 2018

Papers citing "Temporal Difference Variational Auto-Encoder"

25 / 25 papers shown

Title
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
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
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown Maxime Chaveroche Franck Davoine V. Berge-Cherfaoui 12 1 0 12 Dec 2022
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders Priya Mani C. Domeniconi BDL SSL DRL 21 0 0 18 Nov 2022
DIDER: Discovering Interpretable Dynamically Evolving Relations Enna Sachdeva Chiho Choi 36 2 0 22 Aug 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 43 18 0 23 May 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 24 16 0 25 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 24 10 0 23 Mar 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 27 21 0 26 Oct 2021
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 43 9 0 21 Oct 2021
A Temporal Variational Model for Story Generation David Wilmot Frank Keller DRL 35 8 0 14 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 29 59 0 20 Aug 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 18 14 0 18 Feb 2021
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 24 36 0 26 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 33 809 0 05 Oct 2020
Dynamic Future Net: Diversified Human Motion Generation Wenheng Chen He-Nan Wang Yi Yuan Tianjia Shao Kun Zhou 3DH 30 22 0 25 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 24 54 0 30 Jul 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 27 74 0 29 Jun 2020
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 26 159 0 21 Feb 2020
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 24 36 0 22 Jun 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 42 24 0 11 Apr 2019
A Local Approach to Forward Model Learning: Results on the Game of Life Game Simon Lucas Alexander Dockhorn Vanessa Volz Chris Bamford Raluca D. Gaina Ivan Bravi Diego Perez-Liebana Sanaz Mostaghim R. Kruse 16 17 0 29 Mar 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016