SAMBA: Safe Model-Based & Active Reinforcement Learning

12 June 2020

Alexander I. Cowen-Rivers

Jun Wang

Papers citing "SAMBA: Safe Model-Based & Active Reinforcement Learning"

30 / 30 papers shown

Title
Improving Controller Generalization with Dimensionless Markov Decision Processes V. Charvet Sebastian Stein R. Murray-Smith 34 0 0 14 Apr 2025
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning Jonas Günster Puze Liu Jan Peters Davide Tateo OffRL 23 2 0 18 Sep 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 47 1 0 06 Jun 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 38 7 0 13 Apr 2024
ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization Yao Zhao Tao Wu Yijie Zhu Xiang Lu Jun Wang Haitham Bou-Ammar Xinyu Zhang Peng Du 30 3 0 04 Mar 2024
Modeling Risk in Reinforcement Learning: A Literature Mapping Leonardo Villalobos-Arias Derek Martin Abhijeet Krishnan Madeleine Gagné Colin M. Potts Arnav Jhala 13 0 0 08 Dec 2023
Latest Trends in Artificial Intelligence Technology: A Scoping Review Teemu Niskanen T. Sipola Olli Väänänen 17 1 0 08 May 2023
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning Daniel Palenicek M. Lutter João Carvalho Jan Peters 21 4 0 07 Mar 2023
Adaptive Aggregation for Safety-Critical Control Huiliang Zhang Di Wu Benoit Boulet 14 0 0 07 Feb 2023
Provable Safe Reinforcement Learning with Binary Feedback Andrew Bennett Dipendra Kumar Misra Nathan Kallus OffRL 28 4 0 26 Oct 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm Ashish Kumar Jayant S. Bhatnagar OffRL 13 37 0 14 Oct 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu Kuo Zhang Davide Tateo Snehal Jauhri Zhiyuan Hu Jan Peters Georgia Chalvatzaki 39 17 0 27 Sep 2022
Guided Safe Shooting: model based reinforcement learning with safety constraints Giuseppe Paolo Jonas Gonzalez-Billandon Albert Thomas Balázs Kégl 11 3 0 20 Jun 2022
Effects of Safety State Augmentation on Safe Exploration Aivar Sootla Alexander I. Cowen-Rivers Jun Wang H. Ammar OffRL 22 0 0 06 Jun 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 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 18 54 0 14 Feb 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 35 1 0 14 Jan 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles Xinglong Zhang Yaoqian Peng Biao Luo Wei Pan Xin Xu Haibin Xie 19 11 0 18 Dec 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention Yunkun Xu Zhen-yu Liu Guifang Duan Jiangcheng Zhu X. Bai Jianrong Tan 10 9 0 10 Nov 2021
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning Stefan Radic Webster Peter A. Flach 24 3 0 09 Nov 2021
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention D. Mguni Usman Islam Taher Jafferjee Xiuling Zhang Joel Jennings Aivar Sootla Changmin Yu Ziyan Wang Jun Wang Yaodong Yang OffRL 26 7 0 27 Oct 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 19 2 0 26 Oct 2021
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 8 39 0 11 Oct 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 24 53 0 08 Oct 2021
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors Jonas C. Kiemel Torsten Kröger 9 8 0 05 Mar 2021
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit Alexander I. Cowen-Rivers Rasul Tutunov Ryan-Rhys Griffiths Jun Wang Haitham Bou-Ammar 19 13 0 15 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 12 137 0 27 Oct 2020
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 67 310 0 06 Jun 2015