Robust Predictable Control

7 September 2021

Papers citing "Robust Predictable Control"

23 / 23 papers shown

Title
Trajectory Entropy Reinforcement Learning for Predictable and Robust Control Bang You Chenxu Wang Huaping Liu 24 0 0 07 May 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz Antoine Dedieu Wolfgang Lehrach Swaroop Guntupalli Carter Wendelken Ahmad Humayun Guangyao Zhou Sivaramakrishnan Swaminathan Miguel Lázaro-Gredilla Kevin P. Murphy OffRL 49 1 0 26 Sep 2024
Rethinking State Disentanglement in Causal Reinforcement Learning Haiyao Cao Zhen Zhang Panpan Cai Yuhang Liu Jinan Zou Ehsan Abbasnejad Biwei Huang Mingming Gong Anton van den Hengel Javen Qinfeng Shi CML 32 0 0 24 Aug 2024
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning Max Weltevrede Felix Kaubek M. Spaan Wendelin Bohmer 44 0 0 12 Jun 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 27 14 0 20 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 19 20 0 17 Jan 2024
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization Daniel Jarne Ornia Giannis Delimpaltadakis Jens Kober Javier Alonso-Mora 19 1 0 30 Nov 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 24 10 0 25 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 28 6 0 10 Oct 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks I. Char J. Schneider 26 4 0 12 Jul 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning Max Weltevrede M. Spaan Wendelin Bohmer OffRL 18 1 0 09 Jun 2023
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 46 53 0 30 May 2023
Reinforcement Learning with Simple Sequence Priors Tankred Saanum N. Éltető Peter Dayan Marcel Binz Eric Schulz OffRL 23 7 0 26 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 33 19 0 22 May 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 24 31 0 03 Apr 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 14 9 0 08 Feb 2023
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang Patrick Yin Ashvin Nair Homer Walke Ge Yan Sergey Levine OffRL 24 22 0 12 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 40 0 0 23 Sep 2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning Bang You Jingming Xie Youping Chen Jan Peters O. Arenz 16 2 0 12 Sep 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning Marcel Binz Eric Schulz 11 13 0 27 Jan 2022
Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss Mustafa O. Karabag Cyrus Neary Ufuk Topcu 17 6 0 17 Jan 2022
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 155 0 18 Nov 2021