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1909.12255
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Harnessing Structures for Value-Based Planning and Reinforcement Learning
International Conference on Learning Representations (ICLR), 2019
26 September 2019
Yuzhe Yang
Guo Zhang
Zhi Xu
Dina Katabi
OffRL
Re-assign community
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Papers citing
"Harnessing Structures for Value-Based Planning and Reinforcement Learning"
29 / 29 papers shown
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03 Jun 2025
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
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Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
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371
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14 Apr 2025
Solving Finite-Horizon MDPs via Low-Rank Tensors
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312
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17 Jan 2025
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
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Hoi-To Wai
Antonio G. Marques
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272
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10 Jan 2025
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
Neural Information Processing Systems (NeurIPS), 2024
Stefan Stojanovic
Yassir Jedra
Alexandre Proutiere
448
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0
30 Oct 2024
Tensor Low-rank Approximation of Finite-horizon Value Functions
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Antonio G. Marques
303
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27 May 2024
Matrix Low-Rank Approximation For Policy Gradient Methods
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333
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27 May 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
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Andrea Miele
Razvan Pascanu
Çağlar Gülçehre
385
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456
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09 Mar 2024
Directions of Curvature as an Explanation for Loss of Plasticity
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Haruto Tanaka
Dale Schuurmans
Marlos C. Machado
527
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0
30 Nov 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting
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Hao Fei
Jianye Hao
329
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02 Mar 2023
Reinforcement Learning for Resilient Power Grids
Zhenting Zhao
Po-Yen Chen
Yucheng Jin
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160
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0
08 Dec 2022
Detection and Evaluation of Clusters within Sequential Data
Data mining and knowledge discovery (DMKD), 2022
Alexander Van Werde
Albert Senen-Cerda
Gianluca Kosmella
J. Sanders
244
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0
04 Oct 2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
Measurement and Modeling of Computer Systems (SIGMETRICS), 2022
Tyler Sam
Yudong Chen
Chao Yu
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496
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0
07 Jun 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Sergio Rozada
Santiago Paternain
A. Marques
364
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0
21 Jan 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
AAAI Conference on Artificial Intelligence (AAAI), 2022
Anthony GX-Chen
Veronica Chelu
Blake A. Richards
Joelle Pineau
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245
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0
05 Jan 2022
Conditional Imitation Learning for Multi-Agent Games
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2022
Andy Shih
Stefano Ermon
Dorsa Sadigh
310
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05 Jan 2022
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
International Conference on Distributed Artificial Intelligence (DAI), 2021
Tong Sang
Hongyao Tang
Jianye Hao
Yan Zheng
Zhaopeng Meng
155
2
0
19 Nov 2021
Low-rank State-action Value-function Approximation
European Signal Processing Conference (EUSIPCO), 2021
Sergio Rozada
Victor M. Tenorio
A. Marques
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202
11
0
18 Apr 2021
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension
Udari Madhushani
Biswadip Dey
Naomi Ehrich Leonard
Amit Chakraborty
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475
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Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Aviral Kumar
Rishabh Agarwal
Dibya Ghosh
Sergey Levine
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418
153
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27 Oct 2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Neural Information Processing Systems (NeurIPS), 2020
Devavrat Shah
Dogyoon Song
Zhi Xu
Yuzhe Yang
331
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0
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Stable Reinforcement Learning with Unbounded State Space
Devavrat Shah
Qiaomin Xie
Zhi Xu
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213
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On Reinforcement Learning for Turn-based Zero-sum Markov Games
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Devavrat Shah
Varun Somani
Qiaomin Xie
Zhi Xu
149
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0
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On Robustness of Principal Component Regression
Neural Information Processing Systems (NeurIPS), 2019
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
973
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28 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search
Devavrat Shah
Qiaomin Xie
Zhi Xu
365
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14 Feb 2019
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