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2011.02669
Cited By
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
5 November 2020
Yujing Hu
Weixun Wang
Hangtian Jia
Yixiang Wang
Yingfeng Chen
Jianye Hao
Feng Wu
Changjie Fan
OffRL
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Papers citing
"Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping"
29 / 79 papers shown
Title
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Mostafa Kotb
C. Weber
S. Wermter
32
4
0
07 Mar 2023
Temporal Video-Language Alignment Network for Reward Shaping in Reinforcement Learning
Ziyuan Cao
Reshma A. Ramachandra
K. Yu
28
2
0
08 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
R. Wang
Longtao Zheng
Wei Qiu
Bowei He
Bo An
Zinovi Rabinovich
Yujing Hu
Yingfeng Chen
Tangjie Lv
Changjie Fan
33
1
0
07 Feb 2023
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
Jianxiong Li
Xiao Hu
Haoran Xu
Jingjing Liu
Xianyuan Zhan
Qing-Shan Jia
Ya Zhang
OffRL
38
19
0
03 Feb 2023
Beyond Inverted Pendulums: Task-optimal Simple Models of Legged Locomotion
Yu-Ming Chen
Jian-bo Hu
Michael Posa
38
6
0
05 Jan 2023
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
26
0
0
30 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal
M. Teichmann
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
30
2
0
15 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization
Eric Chen
Zhang-Wei Hong
Joni Pajarinen
Pulkit Agrawal
OnRL
36
24
0
14 Nov 2022
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop
Mudit Verma
Ayushi Kharkwal
Subbarao Kambhampati
14
4
0
07 Oct 2022
Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
Victor R. F. Miranda
A. A. Neto
G. Freitas
L. Mozelli
35
18
0
28 Sep 2022
Safe Reinforcement Learning with Contrastive Risk Prediction
Hanping Zhang
Yuhong Guo
OffRL
29
2
0
10 Sep 2022
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations
Xufeng Zhao
C. Weber
Muhammad Burhan Hafez
S. Wermter
25
8
0
04 Aug 2022
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
19
1
0
22 Jun 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
Christoph Dann
Yishay Mansour
M. Mohri
Ayush Sekhari
Karthik Sridharan
36
49
0
19 Jun 2022
Achieving Goals using Reward Shaping and Curriculum Learning
M. Anca
Jonathan D. Thomas
Dabal Pedamonti
M. Studley
Mark Hansen
12
1
0
06 Jun 2022
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
J. Ide
Daria Mićović
Michael J. Guarino
K. Alcedo
D. Rosenbluth
Adrian P. Pope
13
3
0
07 Feb 2022
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
Fabio Ferreira
Thomas Nierhoff
Andreas Saelinger
Frank Hutter
27
4
0
06 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
Xidong Feng
Bo Liu
Jie Ren
Luo Mai
Rui Zhu
Haifeng Zhang
Jun Wang
Yaodong Yang
14
12
0
31 Dec 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Xinglong Zhang
Yaoqian Peng
Biao Luo
Wei Pan
Xin Xu
Haibin Xie
27
11
0
18 Dec 2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
Paulina Stevia Nouwou Mindom
Amin Nikanjam
Foutse Khomh
J. Mullins
AAML
28
3
0
08 Nov 2021
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
Giuseppe Paolo
Alexandre Coninx
Alban Laflaquière
Stéphane Doncieux
19
3
0
02 Nov 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models
Kiran Purohit
Soumili Das
Jia Wang
He Zhu
Santu Rana
Gabriele Tolomei
CML
OffRL
41
36
0
22 Oct 2021
Core Challenges in Embodied Vision-Language Planning
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
49
45
0
26 Jun 2021
Heuristic-Guided Reinforcement Learning
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
35
61
0
05 Jun 2021
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving
Pranav Agarwal
Pierre de Beaucorps
Raoul de Charette
29
3
0
16 Mar 2021
Learning to Shape Rewards using a Game of Two Partners
D. Mguni
Taher Jafferjee
Jianhong Wang
Nicolas Perez Nieves
Tianpei Yang
...
Feifei Tong
Hui Chen
Jiangcheng Zhu
Jun Wang
Yaodong Yang
38
10
0
16 Mar 2021
Model-Augmented Q-learning
Youngmin Oh
Jinwoo Shin
Eunho Yang
Sung Ju Hwang
OffRL
14
1
0
07 Feb 2021
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning
Raghunandan Rajan
Jessica Lizeth Borja Diaz
Suresh Guttikonda
Fabio Ferreira
André Biedenkapp
Jan Ole von Hartz
Frank Hutter
33
3
0
17 Sep 2019
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