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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future

5 March 2019

Amanpreet Singh

Devi Parikh

Papers citing "Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future"

26 / 26 papers shown

Title
HAEPO: History-Aggregated Exploratory Policy Optimization Gaurish Trivedi Alakh Sharma Kartikey Singh Bhandari Dhruv Kumar Pratik Narang Jagat Sesh Challa 48 0 0 26 Aug 2025
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 216 4 0 30 Jun 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Kumar Misra Akanksha Saran Tengyang Xie Alex Lamb John Langford SSL OffRL 272 7 0 20 Mar 2024
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination Liangzhou Wang Kaiwen Zhu Fengming Zhu Xinghu Yao Shujie Zhang Deheng Ye Haobo Fu Qiang Fu Wei Yang 152 4 0 05 Mar 2024
DREAMWALKER: Mental Planning for Continuous Vision-Language NavigationIEEE International Conference on Computer Vision (ICCV), 2023 Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 168 70 0 14 Aug 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 193 6 0 12 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behaviorNature Communications (Nat. Commun.), 2023 Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 194 205 0 11 Apr 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon TrajectoriesIEEE International Conference on Robotics and Automation (ICRA), 2023 Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 130 7 0 17 Feb 2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges T. Taniguchi Shingo Murata Masahiro Suzuki D. Ognibene Pablo Lanillos ... L. Jamone Tomoaki Nakamura Alejandra Ciria B. Lara G. Pezzulo 231 73 0 14 Jan 2023
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL Han Wang Archit Sakhadeo Adam White James Bell Vincent Liu Xutong Zhao Puer Liu Tadashi Kozuno Alona Fyshe Martha White OffRL OnRL 192 8 0 18 May 2022
Competency Assessment for Autonomous Agents using Deep Generative ModelsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 119 13 0 23 Mar 2022
Retrieval-Augmented Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 370 66 0 17 Feb 2022
Bayesian sense of time in biological and artificial brains Zafeirios Fountas Alexey Zakharov 121 1 0 14 Jan 2022
Robust Predictable ControlNeural Information Processing Systems (NeurIPS), 2021 Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 169 49 0 07 Sep 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future PredictionAAAI Conference on Artificial Intelligence (AAAI), 2021 Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Jun Liu Wulong Liu Zhaopeng Meng OffRL 184 5 0 03 Mar 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2020 Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 179 39 0 16 Dec 2020
Neural-iLQR: A Learning-Aided Shooting Method for Trajectory OptimizationIEEE International Conference on Robotics and Biomimetics (ROBIO), 2020 Zilong Cheng Yuling Li Kai Chen Jun Ma Tong-heng Lee 213 1 0 21 Nov 2020
Episodic Memory for Learning Subjective-Timescale Models Alexey Zakharov Matthew Crosby Zafeirios Fountas 90 4 0 03 Oct 2020
Emergent Social Learning via Multi-agent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020 Kamal Ndousse Douglas Eck Sergey Levine Natasha Jaques 233 52 0 01 Oct 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 407 63 0 30 Jun 2020
Objective Mismatch in Model-based Reinforcement LearningConference on Learning for Dynamics & Control (L4DC), 2020 Nathan Lambert Brandon Amos Omry Yadan Roberto Calandra OffRL 308 108 0 11 Feb 2020
Variational Recurrent Models for Solving Partially Observable Control TasksInternational Conference on Learning Representations (ICLR), 2019 Dongqi Han Kenji Doya Jun Tani DRL OffRL 131 71 0 23 Dec 2019
Shaping Belief States with Generative Environment Models for RLNeural Information Processing Systems (NeurIPS), 2019 Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 355 121 0 21 Jun 2019
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Zhaopeng Meng Yaodong Yang Li Wang 68 3 0 27 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 330 134 0 15 May 2019
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 924 3,734 0 02 Dec 2016