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Non-decreasing Quantile Function Network with Efficient Exploration for
  Distributional Reinforcement Learning

Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning

International Joint Conference on Artificial Intelligence (IJCAI), 2021
14 May 2021
Fan Zhou
Zhoufan Zhu
Qi Kuang
Liwen Zhang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning"

11 / 11 papers shown
Title
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
Mehrdad Moghimi
Hyejin Ku
OffRL
330
3
0
03 Jan 2025
A Simple Mixture Policy Parameterization for Improving Sample Efficiency
  of CVaR Optimization
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization
Yudong Luo
Yangchen Pan
Han Wang
Juil Sock
Pascal Poupart
299
5
0
17 Mar 2024
Pitfall of Optimism: Distributional Reinforcement Learning by
  Randomizing Risk Criterion
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk CriterionNeural Information Processing Systems (NeurIPS), 2023
Taehyun Cho
Seung Han
Heesoo Lee
Kyungjae Lee
Jungwoo Lee
365
6
0
25 Oct 2023
Variance Control for Distributional Reinforcement Learning
Variance Control for Distributional Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
Qi Kuang
Zhoufan Zhu
Liwen Zhang
Fan Zhou
OffRL
279
4
0
30 Jul 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy
  Gradient
An Alternative to Variance: Gini Deviation for Risk-averse Policy GradientNeural Information Processing Systems (NeurIPS), 2023
Yudong Luo
Guiliang Liu
Pascal Poupart
Yangchen Pan
284
12
0
17 Jul 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent
  Reinforcement Learning
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Ji-Yun Oh
Joonkee Kim
Minchan Jeong
Se-Young Yun
161
1
0
03 Mar 2023
Distributional Method for Risk Averse Reinforcement Learning
Distributional Method for Risk Averse Reinforcement Learning
Ziteng Cheng
S. Jaimungal
Nick G. Martin
136
0
0
27 Feb 2023
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous
  Control
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous ControlIEEE International Joint Conference on Neural Network (IJCNN), 2022
T. Kanazawa
Haiyan Wang
Chetan Gupta
UQCV
244
7
0
27 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning
Risk Perspective Exploration in Distributional Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Se-Young Yun
141
5
0
28 Jun 2022
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still
  Insufficient according to an Off-Policy Measure
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy MeasureAAAI Conference on Artificial Intelligence (AAAI), 2022
Xing Chen
Dongcui Diao
Hechang Chen
Hengshuai Yao
Haiyin Piao
Zhixiao Sun
Zhiwei Yang
Randy Goebel
Bei Jiang
Yi-Ju Chang
OffRL
365
23
0
20 May 2022
A Cramér Distance perspective on Quantile Regression based
  Distributional Reinforcement Learning
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
Alix Lhéritier
Nicolas Bondoux
157
5
0
01 Oct 2021
1