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Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control

11 October 2024

Papers citing "Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control"

34 / 34 papers shown

Title
Learning Humanoid Locomotion with Perceptive Internal Model Junfeng Long Junli Ren Moji Shi Ziyi Wang Tao Huang Ping Luo Jiangmiao Pang 132 24 0 21 Nov 2024
Dynamically Feasible Path Planning in Cluttered Environments via Reachable Bezier Polytopes Noel Csomay-Shanklin William D. Compton Aaron D. Ames 88 2 0 20 Nov 2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li Hongyi Zhou Dominik Roth Serge Thilges Fabian Otto Rudolf Lioutikov Gerhard Neumann OffRL 60 7 0 21 Jan 2024
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 63 13 0 15 Jun 2023
Latent Exploration for Reinforcement Learning A. Chiappa Alessandro Marin Vargas Ann Zixiang Huang Alexander Mathis 59 18 0 31 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 125 151 0 26 Apr 2023
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 82 9 0 28 May 2022
Rapid Locomotion via Reinforcement Learning G. Margolis Ge Yang Kartik Paigwar Tao Chen Pulkit Agrawal 107 240 0 05 May 2022
Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics Manuel Y. Galliker Noel Csomay-Shanklin R. Grandia Andrew J. Taylor Farbod Farshidian Marco Hutter Aaron D. Ames 32 12 0 14 Mar 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei Xu Haonan Yu 71 10 0 24 Jan 2022
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 167 62 0 01 Oct 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning Arnaud Fickinger Hengyuan Hu Brandon Amos Stuart J. Russell Noam Brown 86 21 0 30 Sep 2021
TempoRL: Learning When to Act André Biedenkapp Raghunandan Rajan Frank Hutter Marius Lindauer OffRL 49 30 0 09 Jun 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control Haonan Yu Wei Xu Haichao Zhang OffRL 33 21 0 13 Apr 2021
An Analysis of Frame-skipping in Reinforcement Learning Shivaram Kalyanakrishnan Siddharth Aravindan Vishwajeet Bagdawat Varun Bhatt Harshith Goka Archit Gupta Kalpesh Krishna Vihari Piratla 37 20 0 07 Feb 2021
Acting in Delayed Environments with Non-Stationary Markov Policies E. Derman Gal Dalal Shie Mannor 73 34 0 28 Jan 2021
An Overview of Neural Network Compression James OÑeill AI4CE 106 98 0 05 Jun 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 69 58 0 12 May 2020
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments Baiming Chen Mengdi Xu Zuxin Liu Liang-Sheng Li Ding Zhao 50 37 0 11 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 132 64 0 11 May 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 81 125 0 24 Mar 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,835 0 13 Dec 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 106 447 0 02 Oct 2019
Reusability and Transferability of Macro Actions for Reinforcement Learning Yi-Hsiang Chang Kuan-Yu Chang Henry Kuo Chun-Yi Lee 50 2 0 05 Aug 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 100 956 0 19 Jun 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 143 2,449 0 13 Dec 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 61 270 0 04 Oct 2018
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 57 72 0 27 Apr 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 182 5,204 0 26 Feb 2018
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,449 0 15 May 2017
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion Farbod Farshidian Michael Neunert Alexander Winkler Gonzalo Rey J. Buchli 53 145 0 30 Sep 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,272 0 09 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 92 505 0 03 Jul 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,370 0 03 Jun 2014