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Conservative and Adaptive Penalty for Model-Based Safe Reinforcement
  Learning

Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning

14 December 2021
Yecheng Jason Ma
Andrew Shen
Osbert Bastani
Dinesh Jayaraman
ArXivPDFHTML

Papers citing "Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning"

14 / 14 papers shown
Title
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
225
0
0
16 Apr 2025
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement
  Learning
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning
Leen Kweider
Maissa Abou Kassem
Ubai Sandouk
OffRL
44
0
0
29 Jul 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Zhehua Zhou
Xuan Xie
Jiayang Song
Zhan Shu
Lei Ma
49
1
0
06 Jun 2024
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Jiaming Ji
Borong Zhang
Jiayi Zhou
Xuehai Pan
Weidong Huang
Ruiyang Sun
Yiran Geng
Yifan Zhong
Juntao Dai
Yaodong Yang
OffRL
36
63
0
19 Oct 2023
SafeDreamer: Safe Reinforcement Learning with World Models
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang
Jiaming Ji
Borong Zhang
Chunhe Xia
Yao-Chun Yang
OffRL
30
19
0
14 Jul 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning
  Research
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
Jiaming Ji
Jiayi Zhou
Borong Zhang
Juntao Dai
Xuehai Pan
Ruiyang Sun
Weidong Huang
Yiran Geng
Mickel Liu
Yaodong Yang
OffRL
75
47
0
16 May 2023
Guiding Safe Exploration with Weakest Preconditions
Guiding Safe Exploration with Weakest Preconditions
Greg Anderson
Swarat Chaudhuri
Işıl Dillig
36
6
0
28 Sep 2022
Safe Reinforcement Learning with Contrastive Risk Prediction
Safe Reinforcement Learning with Contrastive Risk Prediction
Hanping Zhang
Yuhong Guo
OffRL
32
2
0
10 Sep 2022
Guided Safe Shooting: model based reinforcement learning with safety
  constraints
Guided Safe Shooting: model based reinforcement learning with safety constraints
Giuseppe Paolo
Jonas Gonzalez-Billandon
Albert Thomas
Balázs Kégl
24
3
0
20 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
  $f$-Advantage Regression
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via fff-Advantage Regression
Yecheng Jason Ma
Jason Yan
Dinesh Jayaraman
Osbert Bastani
OffRL
25
53
0
07 Jun 2022
Effects of Safety State Augmentation on Safe Exploration
Effects of Safety State Augmentation on Safe Exploration
Aivar Sootla
Alexander I. Cowen-Rivers
Jun Wang
H. Ammar
OffRL
35
0
0
06 Jun 2022
User-Interactive Offline Reinforcement Learning
User-Interactive Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
30
11
0
21 May 2022
Versatile Offline Imitation from Observations and Examples via
  Regularized State-Occupancy Matching
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
23
32
0
04 Feb 2022
Conservative Offline Distributional Reinforcement Learning
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
73
79
0
12 Jul 2021
1