Discrete and Continuous Action Representation for Practical RL in Video Games

23 December 2019

Papers citing "Discrete and Continuous Action Representation for Practical RL in Video Games"

32 / 32 papers shown

Title
IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards Muhammad Hamza Yousuf Jason Li S. Vahdati Raphael Theilen Jakob Wittenstein Jens Lehmann OffRL 24 0 0 17 Jun 2025
A learning-based approach to stochastic optimal control under reach-avoid constraint Tingting Ni Maryam Kamgarpour 137 0 0 21 Dec 2024
Artificially intelligent Maxwell's demon for optimal control of open quantum systems P. A. Erdman R. Czupryniak Bibek Bhandari Andrew N. Jordan Frank Noé J. Eisert Giacomo Guarnieri 69 3 0 27 Aug 2024
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies Finn Rietz Erik Schaffernicht Stefan Heinrich J. A. Stork AI4CE 74 0 0 02 May 2024
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning Jizhe Dou Haotian Zhang Guodong Sun 96 0 0 16 Mar 2024
Discretionary Lane-Change Decision and Control via Parameterized Soft Actor-Critic for Hybrid Action Space Yuan Lin Xiao Liu Zishun Zheng 60 5 0 24 Feb 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 64 1 0 09 Jan 2024
Position control of an acoustic cavitation bubble by reinforcement learning K. Klapcsik Bálint Gyires-Tóth Juan Manuel Rosselló Ferenc Hegedüs 24 0 0 09 Dec 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Changyu Chen Ramesha Karunasena Thanh Hong Nguyen Arunesh Sinha Pradeep Varakantham 105 9 0 26 Nov 2023
Visual Forecasting as a Mid-level Representation for Avoidance Hsuan-Kung Yang Tsung-Chih Chiang Ting-Ru Liu Chun-Wei Huang Jou-Min Liu Chun-Yi Lee 77 0 0 17 Sep 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality Hsuan-Kung Yang Tsung-Chih Chiang Tingxin Liu Chun-Wei Huang Jou-Min Liu Tsu-Ching Hsiao Chun-Yi Lee 69 1 0 05 Mar 2023
Diverse Policy Optimization for Structured Action Space Wenhao Li Baoxiang Wang Shanchao Yang H. Zha OffRL 75 1 0 23 Feb 2023
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 71 3 0 22 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space Hongzhi Hua Guixuan Wen Kaigui Wu 39 1 0 30 Aug 2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy Hongzhi Hua Kaigui Wu Guixuan Wen 38 0 0 10 Jun 2022
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning P. A. Erdman Frank Noé 51 9 0 10 Apr 2022
Building Decision Forest via Deep Reinforcement Learning Guixuan Wen Kaigui Wu 41 4 0 01 Apr 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 53 16 0 30 Mar 2022
Investigation of Factorized Optical Flows as Mid-Level Representations Hsuan-Kung Yang Tsu-Ching Hsiao Tingbo Liao Hsu-Shen Liu Li-Yuan Tsao Tzu-Wen Wang Shan Yang Yu-Wen Chen Huang-ru Liao Chun-Yi Lee 74 3 0 09 Mar 2022
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives Zohar Feldman Hanna Ziesche Ngo Anh Vien Dotan Di Castro 82 16 0 02 Nov 2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks Yongyu Wang Shiyu Jin Changhao Wang Xinghao Zhu Masayoshi Tomizuka 143 43 0 25 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 94 42 0 20 Oct 2021
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces Ayush Raina Jonathan Cagan Christopher McComb AI4CE 71 13 0 07 Oct 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 69 15 0 17 Sep 2021
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Boyan Li Hongyao Tang Yan Zheng Jianye Hao Pengyi Li Zhen Wang Zhaopeng Meng Li Wang 94 43 0 12 Sep 2021
Identifying optimal cycles in quantum thermal machines with reinforcement-learning P. A. Erdman Frank Noé AI4CE 51 72 0 30 Aug 2021
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents Alessandro Sestini A. Kuhnle Andrew D. Bagdanov 56 4 0 21 Apr 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control Haonan Yu Wei Xu Haichao Zhang OffRL 56 21 0 13 Apr 2021
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 95 14 0 12 Dec 2020
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games Alessandro Sestini A. Kuhnle Andrew D. Bagdanov 51 2 0 07 Dec 2020
Benchmarking End-to-End Behavioural Cloning on Video Games Anssi Kanervisto J. Pussinen Ville Hautamaki OffRL 72 24 0 02 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 80 84 0 02 Apr 2020