OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

22 September 2017

Tu-Hoa Pham

Giovanni De Magistris

Ryuki Tachibana

OffRL

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Papers citing "OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World"

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Title
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller Mingxin Yu Chenning Yu M.-Mahdi Naddaf-Sh Devesh Upadhyay Sicun Gao Chuchu Fan 47 4 0 01 Apr 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Simon Guist Jan Schneider Hao Ma Tianyu Cui V. Berenz ... Felix Gruninger M. Muhlebach J. Fiene Bernhard Schölkopf Le Chen 52 4 0 05 Jul 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 42 15 0 16 May 2023
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems Glenn Ceusters M. A. Putratama R. Franke Ann Nowé M. Messagie 34 4 0 18 Apr 2023
Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform Márton Szep Leander Lauenburg Kevin Farkas Xiyan Su Chuanlong Zang 16 0 0 31 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo Li Ding Zhao 79 45 0 16 Sep 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 117 241 0 20 May 2022
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments Jakob Thumm Matthias Althoff 60 34 0 12 May 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 34 0 0 27 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 69 31 0 28 Jan 2022
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 18 9 0 10 Nov 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 34 5 0 10 Oct 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety Haitong Ma Yang Guan Shegnbo Eben Li Xiangteng Zhang Sifa Zheng Jianyu Chen 43 37 0 22 May 2021
Lyapunov Barrier Policy Optimization Harshit S. Sikchi Wenxuan Zhou David Held 34 14 0 16 Mar 2021
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors Jonas C. Kiemel Torsten Kröger 19 8 0 05 Mar 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 35 14 0 22 Feb 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 25 35 0 02 Jan 2021
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 19 15 0 11 Nov 2020
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints Qingyang Tan Zherong Pan Tianyi Zhou 3DH 30 10 0 06 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints Jonas C. Kiemel Torsten Kröger 25 7 0 01 Nov 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 36 121 0 24 Mar 2020
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 24 176 0 21 Oct 2019
An intelligent financial portfolio trading strategy using deep Q-learning Hyungju Park M. Sim D. Choi AIFin 17 86 0 08 Jul 2019
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization Jens Lundell R. Krug Erik Schaffernicht Todor Stoyanov Ville Kyrki 16 3 0 08 Oct 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 19 432 0 26 Jan 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 191 583 0 26 Sep 2016