Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2112.07701
Cited By
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
14 December 2021
Yecheng Jason Ma
Andrew Shen
Osbert Bastani
Dinesh Jayaraman
Re-assign community
ArXiv
PDF
HTML
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
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
225
0
0
16 Apr 2025
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
Zhehua Zhou
Xuan Xie
Jiayang Song
Zhan Shu
Lei Ma
49
1
0
06 Jun 2024
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
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
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
Greg Anderson
Swarat Chaudhuri
Işıl Dillig
36
6
0
28 Sep 2022
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
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
f
f
-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
Aivar Sootla
Alexander I. Cowen-Rivers
Jun Wang
H. Ammar
OffRL
35
0
0
06 Jun 2022
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
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
23
32
0
04 Feb 2022
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
73
79
0
12 Jul 2021
1