Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space

23 October 2018

Papers citing "Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space"

9 / 9 papers shown

Title
One model Packs Thousands of Items with Recurrent Conditional Query Learning Dongda Li Zhaoquan Gu Yuexuan Wang Changwei Ren F. Lau 27 17 0 12 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 40 90 0 28 Oct 2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks Yongyu Wang Shiyu Jin Changhao Wang Xinghao Zhu Masayoshi Tomizuka 26 42 0 25 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 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 34 42 0 12 Sep 2021
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework Amber Srivastava S. Salapaka 11 11 0 17 Jun 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics G. Simm Robert Pinsler José Miguel Hernández-Lobato AI4CE 21 82 0 18 Feb 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 19 52 0 23 Dec 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan Ruilong Su Weinan Zhang Yong Yu 14 133 0 04 Mar 2019