Generative Modelling of Stochastic Actions with Arbitrary Constraints in
Reinforcement Learning

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

26 November 2023

Ramesha Karunasena

Thanh Hong Nguyen

Pradeep Varakantham

Papers citing "Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning"

9 / 9 papers shown

Title
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies Matthew Landers Taylor W. Killian Thomas Hartvigsen Afsaneh Doryab 7 0 0 17 May 2025
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs Wei-Ting Hung Shao-Hua Sun Ping-Chun Hsieh 41 0 0 17 Mar 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J. Brahmanage Jiajing Ling Akshat Kumar 42 0 0 08 Feb 2025
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration Y. Fu Yuanheng Zhu Haoran Li Zijie Zhao Jiajun Chai Dongbin Zhao 42 0 0 06 Nov 2024
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces Matthew Landers Taylor W. Killian Hugo Barnes Thomas Hartvigsen Afsaneh Doryab OffRL 20 0 0 28 Oct 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 26 0 0 01 Aug 2024
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies Finn Rietz Erik Schaffernicht Stefan Heinrich J. A. Stork AI4CE 25 0 0 02 May 2024
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 117 239 0 20 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 213 395 0 10 Feb 2021