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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human
  Suboptimal Knowledge
v1v2 (latest)

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

International Joint Conference on Artificial Intelligence (IJCAI), 2020
18 February 2020
Peng Zhang
Jianye Hao
Weixun Wang
Hongyao Tang
Yi Ma
Yihai Duan
Yan Zheng
    OffRLOnRL
ArXiv (abs)PDFHTML

Papers citing "KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge"

14 / 14 papers shown
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
Anjie Liu
Jianhong Wang
Samuel Kaski
Jun Wang
M. Yang
308
0
0
20 Oct 2025
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
Xuefei Wu
Xiao Yin
Yuanyang Zhu
Chunlin Chen
198
3
0
25 Jul 2025
Interpretable and Explainable Logical Policies via Neurally Guided
  Symbolic Abstraction
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic AbstractionNeural Information Processing Systems (NeurIPS), 2023
Quentin Delfosse
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
365
54
0
02 Jun 2023
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Lorenz Wolf
Mirco Musolesi
OffRL
277
0
0
01 Jun 2023
System III: Learning with Domain Knowledge for Safety Constraints
System III: Learning with Domain Knowledge for Safety Constraints
Fazl Barez
Hosien Hasanbieg
Alesandro Abbate
218
5
0
23 Apr 2023
Neural Episodic Control with State Abstraction
Neural Episodic Control with State AbstractionInternational Conference on Learning Representations (ICLR), 2023
Zhuo Li
Derui Zhu
Yujing Hu
Xiaofei Xie
Lei Ma
Yan Zheng
Yan Song
Yingfeng Chen
Jianjun Zhao
OffRL
363
21
0
27 Jan 2023
Computationally Efficient Reinforcement Learning: Targeted Exploration
  leveraging Simple Rules
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple RulesIEEE Conference on Decision and Control (CDC), 2022
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
254
0
0
30 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Yunpeng Qing
Shunyu Liu
Mingli Song
Huiqiong Wang
Weilong Dai
XAI
592
1
0
12 Nov 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep
  Reinforcement Learning
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Zih-Yun Chiu
Yi-Lin Tuan
William Yang Wang
Michael C. Yip
OffRL
272
7
0
07 Oct 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Shunyu Liu
Kaixuan Chen
Na Yu
Mingli Song
Zunlei Feng
Weilong Dai
350
2
0
05 Jul 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic
  Synthesis
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic SynthesisNeural Information Processing Systems (NeurIPS), 2022
Yushi Cao
Zhiming Li
Zhenxing Ge
Hao Zhang
Yan Zheng
Yi Li
Jianye Hao
Yang Liu
NAI
275
19
0
27 May 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive
  Mutual Information Collaboration
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information CollaborationInternational Conference on Machine Learning (ICML), 2022
Pengyi Li
Hongyao Tang
Zhenxing Ge
Xiaotian Hao
Tong Sang
...
Jianye Hao
Matthew E. Taylor
Wenyuan Tao
Zhen Wang
Fazl Barez
289
46
0
16 Mar 2022
A new soft computing method for integration of expert's knowledge in
  reinforcement learn-ing problems
A new soft computing method for integration of expert's knowledge in reinforcement learn-ing problems
Mohsen Annabestani
Ali Abedi
M. Nematollahi
M. Naghibi-Sistani
76
0
0
13 Jun 2021
Efficient Use of heuristics for accelerating XCS-based Policy Learning
  in Markov Games
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov GamesSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2020
Hao Chen
Chang Wang
Jian Huang
Jianxing Gong
241
7
0
26 May 2020
1
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