MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

20 April 2021

Papers citing "MBRL-Lib: A Modular Library for Model-based Reinforcement Learning"

37 / 37 papers shown

Title
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 127 0 0 11 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption Bernd Frauenknecht Artur Eisele Devdutt Subhasish Friedrich Solowjow Sebastian Trimpe 44 5 0 29 May 2024
Hybrid Inverse Reinforcement Learning Juntao Ren Gokul Swamy Zhiwei Steven Wu J. Andrew Bagnell Sanjiban Choudhury 34 18 0 13 Feb 2024
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks Peter Graf Patrick Emami 26 2 0 07 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 28 2 0 05 Feb 2024
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 29 3 0 07 Dec 2023
Pearl: A Production-ready Reinforcement Learning Agent Zheqing Zhu Rodrigo de Salvo Braz Jalaj Bhandari Daniel Jiang Yi Wan ... D. Korenkevych Ürün Dogan Frank Cheng Zheng Wu Wanqiao Xu VLM OffRL OnRL 31 6 0 06 Dec 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control Bernd Frauenknecht Tobias Ehlgen Sebastian Trimpe 34 3 0 30 Nov 2023
Goal-conditioned Offline Planning from Curious Exploration Marco Bagatella Georg Martius OffRL 16 1 0 28 Nov 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms Shenao Zhang Boyi Liu Zhaoran Wang Tuo Zhao 16 2 0 30 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
Value-Distributional Model-Based Reinforcement Learning Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 24 4 0 12 Aug 2023
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing Max Yang Yijiong Lin Alex Church John Lloyd Dandan Zhang David A.W. Barton Nathan Lepora OffRL 28 10 0 26 Jul 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou Cyrus Neary Ufuk Topcu DiffM 24 8 0 10 Jun 2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic Tianying Ji Yuping Luo Fuchun Sun Xianyuan Zhan Jianwei Zhang Huazhe Xu OffRL OnRL 37 14 0 05 Jun 2023
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces Johan Vertens Nicolai Dorka Tim Welschehold M. Thompson Wolfram Burgard 17 3 0 21 Mar 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang Alyssa Dayan Franziska Meier Thomas L. Griffiths Sergey Levine Amy Zhang OCL OffRL 24 9 0 20 Mar 2023
Hybrid Systems Neural Control with Region-of-Attraction Planner Yue Meng Chuchu Fan 13 1 0 18 Mar 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka Tim Welschehold Wolfram Burgard 16 3 0 17 Mar 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms Anirudh Vemula Yuda Song Aarti Singh J. Andrew Bagnell Sanjiban Choudhury OffRL 25 11 0 01 Mar 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 28 13 0 24 Feb 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 19 1 0 26 Jan 2023
Model Based Residual Policy Learning with Applications to Antenna Control Viktor Eriksson Mollerstedt Alessio Russo Maxime Bouton OffRL 29 3 0 16 Nov 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning Tianying Ji Yu-Juan Luo Fuchun Sun Mingxuan Jing Fengxiang He Wen-bing Huang 16 18 0 15 Oct 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 23 15 0 07 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory Viraj Mehta I. Char J. Abbate R. Conlin M. Boyer Stefano Ermon J. Schneider W. Neiswanger OffRL 27 6 0 06 Oct 2022
Continuous Monte Carlo Graph Search Kalle Kujanpää Amin Babadi Yi Zhao Juho Kannala Alexander Ilin J. Pajarinen LRM 81 2 0 04 Oct 2022
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 19 18 0 26 Sep 2022
Value Gradient weighted Model-Based Reinforcement Learning C. Voelcker Victor Liao Animesh Garg Amir-massoud Farahmand 17 29 0 04 Apr 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 16 54 0 14 Feb 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 19 9 0 14 Feb 2022
An Experimental Design Perspective on Model-Based Reinforcement Learning Viraj Mehta Biswajit Paria J. Schneider Stefano Ermon W. Neiswanger OffRL 9 18 0 09 Dec 2021
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning Stefan Radic Webster Peter A. Flach 19 3 0 09 Nov 2021
Revisiting Design Choices in Offline Model-Based Reinforcement Learning Cong Lu Philip J. Ball Jack Parker-Holder Michael A. Osborne Stephen J. Roberts OffRL 22 53 0 08 Oct 2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice Nirbhay Modhe Harish Kamath Dhruv Batra A. Kalyan OffRL 9 2 0 26 Jun 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 148 407 0 25 Sep 2019