Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning

8 February 2025

Papers citing "Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning"

21 / 21 papers shown

Title
FlowPG: Action-constrained Policy Gradient with Normalizing Flows J. Brahmanage Jiajing Ling Akshat Kumar 56 3 0 07 Feb 2024
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Changyu Chen Ramesha Karunasena Thanh Hong Nguyen Arunesh Sinha Pradeep Varakantham 86 9 0 26 Nov 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints Kazumi Kasaura Shuwa Miura Tadashi Kozuno Ryo Yonetani Kenta Hoshino Y. Hosoe 66 14 0 18 Apr 2023
State-wise Safe Reinforcement Learning: A Survey Weiye Zhao Tairan He Rui Chen Tianhao Wei Changliu Liu 61 65 0 06 Feb 2023
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 96 14 0 22 Feb 2021
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 61 59 0 19 Nov 2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones Brijen Thananjeyan Ashwin Balakrishna Suraj Nair Michael Luo K. Srinivasan M. Hwang Joseph E. Gonzalez Julian Ibarz Chelsea Finn Ken Goldberg OffRL 77 227 0 29 Oct 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 54 92 0 06 Jul 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 207 1,697 0 05 Dec 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 48 58 0 06 Jun 2019
Leveraging exploration in off-policy algorithms via normalizing flows Bogdan Mazoure T. Doan A. Durand R. Devon Hjelm Joelle Pineau OnRL 46 61 0 16 May 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 234 1,613 0 07 Dec 2018
Resource Constrained Deep Reinforcement Learning Abhinav Bhatia Pradeep Varakantham Akshat Kumar 59 47 0 03 Dec 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 48 440 0 26 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World Tu-Hoa Pham Giovanni De Magistris Ryuki Tachibana OffRL 50 142 0 22 Sep 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 163 963 0 01 Mar 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 272 3,702 0 26 May 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,182 0 21 May 2015