Deep Reinforcement Learning in Parameterized Action Space

13 November 2015

Papers citing "Deep Reinforcement Learning in Parameterized Action Space"

46 / 46 papers shown

Title
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Brandon Ho Batuhan Altundas Matthew C. Gombolay 79 0 0 08 Feb 2025
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies Nishanth Kumar Tom Silver Willie McClinton Linfeng Zhao Stephen Proulx Tomás Lozano-Pérez L. Kaelbling Jennifer Barry 55 18 0 22 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 31 4 0 08 Feb 2024
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning A. Castagna Ivana Dusparic OffRL 18 2 0 02 Mar 2023
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks Wen Wu Kaige Qu Peng Yang Ning Zhang Xuemin X. Shen W. Zhuang 24 4 0 31 Dec 2022
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search Ayush Raina Jonathan Cagan Christopher McComb AI4CE 25 9 0 28 Nov 2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space Hongzhi Hua Guixuan Wen Kaigui Wu 27 1 0 30 Aug 2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy Hongzhi Hua Kaigui Wu Guixuan Wen 24 0 0 10 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Robust stabilization of polytopic systems via fast and reliable neural network-based approximations F. Fabiani Paul Goulart 22 5 0 27 Apr 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates Souradeep Dutta Kaustubh Sridhar Osbert Bastani Yan Sun James Weimer Insup Lee J. Parish-Morris 25 2 0 25 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning Nathan P. Lawrence M. Forbes Philip D. Loewen Daniel G. McClement Johan U. Backstrom R. Bhushan Gopaluni OffRL 22 71 0 13 Nov 2021
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
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces Ayush Raina Jonathan Cagan Christopher McComb AI4CE 25 13 0 07 Oct 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation Jacky Liang Mohit Sharma A. LaGrassa Shivam Vats Saumya Saxena Oliver Kroemer 67 31 0 17 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 92 0 14 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 34 42 0 12 Sep 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 129 0 25 May 2021
Generalizing Object-Centric Task-Axes Controllers using Keypoints Mohit Sharma Oliver Kroemer 20 5 0 18 Mar 2021
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning Q. Göttl D. G. Grimm Jakob Burger AI4CE 48 20 0 12 Jan 2021
Game Plan: What AI can do for Football, and What Football can do for AI K. Tuyls Shayegan Omidshafiei Paul Muller Zhe Wang Jerome T. Connor ... Simon Bouton Nathalie Beauguerlange Jackson Broshear T. Graepel Demis Hassabis 44 78 0 18 Nov 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 33 34 0 03 Nov 2020
Learning Event-triggered Control from Data through Joint Optimization Niklas Funk Dominik Baumann V. Berenz Sebastian Trimpe 10 17 0 11 Aug 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms Shengyi Huang Santiago Ontañón 27 310 0 25 Jun 2020
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework Amber Srivastava S. Salapaka 6 11 0 17 Jun 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 13 91 0 02 Jan 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
Worst Cases Policy Gradients Yichuan Tang Jian Zhang Ruslan Salakhutdinov 21 75 0 09 Nov 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 8 6 0 22 Mar 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan Ruilong Su Weinan Zhang Yong Yu 14 133 0 04 Mar 2019
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 14 35 0 23 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 27 168 0 10 Oct 2018
Deep Reinforcement Learning for Event-Triggered Control Dominik Baumann Jia Jie Zhu Georg Martius Sebastian Trimpe BDL 11 60 0 13 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 21 20 0 06 Sep 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 32 715 0 03 Jul 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 19 0 0 24 May 2018
Learning a Unified Control Policy for Safe Falling Visak C. V. Kumar Sehoon Ha Karen Liu 15 19 0 08 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 21 66 0 01 Dec 2016
An Artificial Agent for Robust Image Registration Rui Liao S. Miao Pierre de Tournemire Sasa Grbic A. Kamen Tommaso Mansi Dorin Comaniciu MedIm 23 196 0 30 Nov 2016
Situational Awareness by Risk-Conscious Skills D. Mankowitz Aviv Tamar Shie Mannor 4 7 0 10 Oct 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 11 1,008 0 02 Mar 2016