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Learning to Walk via Deep Reinforcement Learning

Learning to Walk via Deep Reinforcement Learning

26 December 2018
Tuomas Haarnoja
Sehoon Ha
Aurick Zhou
Jie Tan
George Tucker
Sergey Levine
ArXivPDFHTML

Papers citing "Learning to Walk via Deep Reinforcement Learning"

50 / 225 papers shown
Title
PreCi: Pretraining and Continual Improvement of Humanoid Locomotion via Model-Assumption-Based Regularization
PreCi: Pretraining and Continual Improvement of Humanoid Locomotion via Model-Assumption-Based Regularization
Hyunyoung Jung
Zhaoyuan Gu
Ye Zhao
Hae-Won Park
Sehoon Ha
31
0
0
14 Apr 2025
Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain
Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain
Fangcheng Jin
Yuqi Wang
Peixin Ma
Guodong Yang
Pan Zhao
En Li
Zhengtao Zhang
34
0
0
14 Apr 2025
Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
Ali Parsaee
Fahim Shahriar
Chuxin He
Ruiqing Tan
OffRL
55
0
0
17 Mar 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng-Tao Xu
60
13
0
20 Feb 2025
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour
Antoine Vivien
Thomas Chaffre
Matthew Stephenson
Eva Artusi
Paulo E. Santos
Benoit Clement
Karl Sammut
AI4CE
66
0
0
10 Feb 2025
Risk-sensitive control as inference with Rényi divergence
Risk-sensitive control as inference with Rényi divergence
Kaito Ito
Kenji Kashima
34
1
0
04 Nov 2024
Reinforcement Learning For Quadrupedal Locomotion: Current Advancements
  And Future Perspectives
Reinforcement Learning For Quadrupedal Locomotion: Current Advancements And Future Perspectives
Maurya Gurram
Prakash Kumar Uttam
Shantipal S. Ohol
OffRL
34
0
0
14 Oct 2024
Bisimulation metric for Model Predictive Control
Bisimulation metric for Model Predictive Control
Yutaka Shimizu
M. Tomizuka
28
0
0
06 Oct 2024
Constrained Reinforcement Learning for Safe Heat Pump Control
Constrained Reinforcement Learning for Safe Heat Pump Control
Baohe Zhang
Lilli Frison
Thomas Brox
Joschka Bödecker
AI4CE
21
0
0
29 Sep 2024
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning
Amogh Joshi
Adarsh Kosta
Kaushik Roy
OffRL
42
2
0
16 Sep 2024
Deep reinforcement learning for tracking a moving target in
  jellyfish-like swimming
Deep reinforcement learning for tracking a moving target in jellyfish-like swimming
Yihao Chen
Yue Yang
24
0
0
13 Sep 2024
Artificially intelligent Maxwell's demon for optimal control of open
  quantum systems
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
33
2
0
27 Aug 2024
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via
  MetaGradient-based Hyperparameter Tuning
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning
Homayoun Honari
Amir M. Soufi Enayati
Mehran Ghafarian Tamizi
H. Najjaran
53
1
0
15 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability
  Distributions for On-Policy Reinforcement Learning
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
Yuanyang Zhu
Zhi Wang
Yuanheng Zhu
Chunlin Chen
Dongbin Zhao
23
0
0
01 Aug 2024
RoboMorph: Evolving Robot Morphology using Large Language Models
RoboMorph: Evolving Robot Morphology using Large Language Models
Kevin Qiu
Krzysztof Ciebiera
Krzysztof Ciebiera
Marek Cygan
Marek Cygan
Łukasz Kuciński
LM&Ro
49
0
0
11 Jul 2024
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language
  Models
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models
Annie S. Chen
Alec M. Lessing
Andy Tang
Govind Chada
Laura Smith
Sergey Levine
Chelsea Finn
LM&Ro
LRM
33
9
0
02 Jul 2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful
  Navigators
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
Kuo-Hao Zeng
Zichen Zhang
Kiana Ehsani
Rose Hendrix
Jordi Salvador
Alvaro Herrasti
Ross Girshick
Aniruddha Kembhavi
Luca Weihs
LM&Ro
OffRL
38
17
0
28 Jun 2024
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous
  Loco-manipulation
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
Jin Wang
Rui Dai
Weijie Wang
Luca Rossini
Francesco Ruscelli
Nikos Tsagarakis
39
4
0
20 Jun 2024
What Teaches Robots to Walk, Teaches Them to Trade too -- Regime
  Adaptive Execution using Informed Data and LLMs
What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs
Raeid Saqur
31
3
0
20 Jun 2024
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online
  Coverage Path Planning
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
Arvi Jonnarth
Ola Johansson
M. Felsberg
OffRL
40
1
0
07 Jun 2024
Strategically Conservative Q-Learning
Strategically Conservative Q-Learning
Yutaka Shimizu
Joey Hong
Sergey Levine
M. Tomizuka
OffRL
OnRL
42
0
0
06 Jun 2024
Learning-based legged locomotion; state of the art and future
  perspectives
Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha
Joonho Lee
M. van de Panne
Zhaoming Xie
Wenhao Yu
Majid Khadiv
47
16
0
03 Jun 2024
Employing Federated Learning for Training Autonomous HVAC Systems
Employing Federated Learning for Training Autonomous HVAC Systems
Fredrik Hagström
Vikas K. Garg
Fabricio Oliveira
AI4CE
64
0
0
01 May 2024
Learning H-Infinity Locomotion Control
Learning H-Infinity Locomotion Control
Junfeng Long
Wenye Yu
Quanyi Li
Zirui Wang
Dahua Lin
Jiangmiao Pang
30
7
0
22 Apr 2024
Model-based Offline Quantum Reinforcement Learning
Model-based Offline Quantum Reinforcement Learning
Simon Eisenmann
Daniel Hein
Steffen Udluft
Thomas Runkler
25
2
0
14 Apr 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
32
4
0
24 Mar 2024
Decomposing Control Lyapunov Functions for Efficient Reinforcement
  Learning
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
Antonio Lopez
David Fridovich-Keil
30
1
0
18 Mar 2024
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning
  under Distribution Shifts
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
Tobias Enders
James Harrison
Maximilian Schiffer
OOD
49
3
0
15 Feb 2024
Transferring human emotions to robot motions using Neural Policy Style
  Transfer
Transferring human emotions to robot motions using Neural Policy Style Transfer
R. Fernandez-Fernandez
Bartek Łukawski
J. Victores
C. Pacchierotti
16
22
0
01 Feb 2024
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal
  Locomotion Control
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Zhongyu Li
Xue Bin Peng
Pieter Abbeel
Sergey Levine
Glen Berseth
K. Sreenath
25
76
0
30 Jan 2024
Training microrobots to swim by a large language model
Training microrobots to swim by a large language model
Zhuoqun Xu
Lailai Zhu
33
3
0
21 Jan 2024
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics
  through Multi-Agent Reinforcement Learning Algorithms
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
Michael Kolle
Yannick Erpelding
Fabian Ritz
Thomy Phan
Steffen Illium
Claudia Linnhoff-Popien
17
0
0
13 Jan 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
31
3
0
30 Dec 2023
Astrocyte Regulated Neuromorphic Central Pattern Generator Control of
  Legged Robotic Locomotion
Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion
Zhuangyu Han
Abhronil Sengupta
27
2
0
25 Dec 2023
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
Yiwen Lu
Zishuo Li
Yihan Zhou
Na Li
Yilin Mo
25
2
0
08 Dec 2023
Diffused Task-Agnostic Milestone Planner
Diffused Task-Agnostic Milestone Planner
Mineui Hong
Minjae Kang
Songhwai Oh
21
6
0
06 Dec 2023
TWIST: Teacher-Student World Model Distillation for Efficient
  Sim-to-Real Transfer
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
Jun Yamada
Marc Rigter
Jack Collins
Ingmar Posner
31
5
0
07 Nov 2023
Toward the use of proxies for efficient learning manipulation and
  locomotion strategies on soft robots
Toward the use of proxies for efficient learning manipulation and locomotion strategies on soft robots
Etienne Ménager
Quentin Peyron
Christian Duriez
11
1
0
25 Oct 2023
Sim-to-Real Transfer of Adaptive Control Parameters for AUV
  Stabilization under Current Disturbance
Sim-to-Real Transfer of Adaptive Control Parameters for AUV Stabilization under Current Disturbance
Thomas Chaffre
J. Wheare
A. Lammas
Paulo E. Santos
G. Chenadec
Karl Sammut
Benoit Clement
26
1
0
17 Oct 2023
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic
  Fine-tuning
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning
Tianle Huang
Nitish Sontakke
K. N. Kumar
Irfan Essa
Stefanos Nikolaidis
Dennis W. Hong
Sehoon Ha
27
2
0
16 Oct 2023
ELDEN: Exploration via Local Dependencies
ELDEN: Exploration via Local Dependencies
Jiaheng Hu
Zizhao Wang
Peter Stone
Roberto Martin-Martin
35
8
0
12 Oct 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin
Olivier Sigaud
Jens Kober
Alin Albu-Schäffer
João Silvério
F. Stulp
32
2
0
09 Oct 2023
A Review of Deep Reinforcement Learning in Serverless Computing:
  Function Scheduling and Resource Auto-Scaling
A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling
Amjad Yousef Majid
Eduard Marin
OffRL
16
2
0
05 Oct 2023
CrossLoco: Human Motion Driven Control of Legged Robots via Guided
  Unsupervised Reinforcement Learning
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
Tianyu Li
Hyunyoung Jung
Matthew C. Gombolay
Yong Kwon Cho
Sehoon Ha
20
9
0
29 Sep 2023
HyperPPO: A scalable method for finding small policies for robotic
  control
HyperPPO: A scalable method for finding small policies for robotic control
Luming Tang
Zhehui Huang
Gaurav Sukhatme
20
3
0
28 Sep 2023
Maximum diffusion reinforcement learning
Maximum diffusion reinforcement learning
Thomas A. Berrueta
Allison Pinosky
Todd D. Murphey
AI4CE
DiffM
14
5
0
26 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
From Knowing to Doing: Learning Diverse Motor Skills through Instruction
  Learning
From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning
Linqi Ye
Jiayi Li
Yi Cheng
Xianhao Wang
Bin Liang
Yan Peng
16
7
0
17 Sep 2023
On Autonomous Agents in a Cyber Defence Environment
On Autonomous Agents in a Cyber Defence Environment
Mitchell Kiely
David Bowman
Maxwell Standen
Christopher Moir
AAML
14
12
0
14 Sep 2023
Robot Parkour Learning
Robot Parkour Learning
Ziwen Zhuang
Zipeng Fu
Jianren Wang
Christopher G Atkeson
Soeren Schwertfeger
Chelsea Finn
Hang Zhao
45
142
0
11 Sep 2023
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