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L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth
  Reinforcement Learning

L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning

15 February 2022
Taisuke Kobayashi
ArXivPDFHTML

Papers citing "L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning"

13 / 13 papers shown
Title
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
Xiaoyi Wu
Ravi Seshadri
Filipe Rodrigues
Carlos Lima Azevedo
26
0
0
10 Apr 2025
Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
Keiichiro Takahashi
Taisuke Kobayashi
Tomoya Yamanokuchi
Takamitsu Matsubara
31
0
0
31 Dec 2024
Benchmarking Smoothness and Reducing High-Frequency Oscillations in
  Continuous Control Policies
Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies
Guilherme Christmann
Ying-Sheng Luo
Hanjaya Mandala
Wei-Chao Chen
21
0
0
22 Oct 2024
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
Haoran Wang
Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
27
0
0
12 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
71
2
0
29 Sep 2024
Gradient-based Regularization for Action Smoothness in Robotic Control
  with Reinforcement Learning
Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
I. Lee
Hoang-Giang Cao
Cong-Tinh Dao
Yu-Cheng Chen
I-Chen Wu
25
0
0
05 Jul 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
42
0
0
22 Apr 2024
Revisiting Experience Replayable Conditions
Revisiting Experience Replayable Conditions
Taisuke Kobayashi
24
3
0
15 Feb 2024
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint
Taisuke Kobayashi
29
3
0
08 Mar 2023
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening
  Search
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search
Taisuke Kobayashi
9
1
0
21 Dec 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin
David Hoeller
Philipp Reist
Marco Hutter
115
545
0
24 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
64
162
0
21 Jan 2021
t-Soft Update of Target Network for Deep Reinforcement Learning
t-Soft Update of Target Network for Deep Reinforcement Learning
Taisuke Kobayashi
Wendyam Eric Lionel Ilboudo
79
50
0
25 Aug 2020
1