Temporal Predictive Coding For Model-Based Planning In Latent Space

14 June 2021

Papers citing "Temporal Predictive Coding For Model-Based Planning In Latent Space"

42 / 42 papers shown

Title
Knowledge Retention for Continual Model-Based Reinforcement Learning Yixiang Sun Haotian Fu M. L. Littman George Konidaris OffRL CLL VLM 54 0 0 06 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 72 3 0 17 Feb 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Hongye Cao Fan Feng Meng Fang Shaokang Dong Tianpei Yang Jing Huo Yang Gao 61 1 0 14 Feb 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 37 0 0 09 Nov 2024
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions Kyungmin Kim JB Lanier Pierre Baldi Charless C. Fowlkes Roy Fox 33 1 0 13 Oct 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 35 3 0 29 Sep 2024
Learning Abstract World Model for Value-preserving Planning with Options Rafael Rodríguez-Sánchez George Konidaris 33 1 0 22 Jun 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty P. Becker Niklas Freymuth Gerhard Neumann Mamba 26 2 0 21 Jun 2024
MuDreamer: Learning Predictive World Models without Reconstruction Maxime Burchi Radu Timofte 40 3 0 23 May 2024
Learning Tactile Insertion in the Real World Daniel Palenicek Theo Gruner Tim Schneider Alina Böhm Janis Lenz Inga Pfenning Eric Krämer Jan Peters 35 2 0 01 May 2024
LaPlaSS: Latent Space Planning for Stochastic Systems Marlyse Reeves Brian C. Williams 24 0 0 10 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 41 8 0 06 Mar 2024
CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design Zeji Yi Chaoyi Pan Guanqi He Guannan Qu Guanya Shi 28 10 0 14 Jan 2024
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang Rui Yang Xi Chen Hao Sun Meng Fang Giovanni Montana OffRL 36 9 0 30 Oct 2023
HarmonyDream: Task Harmonization Inside World Models Haoyu Ma Jialong Wu Ningya Feng Chenjun Xiao Dong Li Jianye Hao Jianmin Wang Mingsheng Long 41 7 0 30 Sep 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning Zilai Zeng Ce Zhang Shijie Wang Chen Sun OffRL 29 5 0 07 Jul 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4 Fei Deng Junyeong Park Sungjin Ahn 32 24 0 05 Jul 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Erdun Gao Zhengmao Zhu Hong Tian Biwei Huang Yang Yu Kun Zhang CML OffRL 42 12 0 11 Jun 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 98 156 0 07 Mar 2023
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning Mostafa Kotb C. Weber S. Wermter 32 4 0 07 Mar 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu Qi Zhou Rui Yang Jie Wang OffRL OOD 25 14 0 12 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL P. Becker Sebastian Mossburger Fabian Otto Gerhard Neumann SSL 37 2 0 10 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 19 9 0 08 Feb 2023
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization Burcu Küçükoglu Walraaf Borkent Bodo Rueckauer Nasir Ahmad Umut Güçlü Marcel van Gerven 34 2 0 11 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 15 0 27 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Latent State Marginalization as a Low-cost Approach for Improving Exploration Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 34 9 0 03 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 42 11 0 30 Sep 2022
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 48 25 0 18 Sep 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 147 0 28 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 32 52 0 09 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data Shohreh Deldari Hao Xue Aaqib Saeed Jiayuan He Daniel V. Smith Flora D. Salim AI4TS 35 37 0 06 Jun 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL Homanga Bharadhwaj Mohammad Babaeizadeh D. Erhan Sergey Levine 32 31 0 18 Apr 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning Akira Kinose Masashi Okada Ryogo Okumura T. Taniguchi OffRL 21 10 0 15 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 36 224 0 09 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 28 23 0 01 Mar 2022
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models Nitish Srivastava Walter A. Talbott Martin Bertran Lopez Shuangfei Zhai J. Susskind 30 4 0 02 Dec 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 28 24 0 15 Nov 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 29 62 0 27 Oct 2021
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020