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2409.04792
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Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
Neural Information Processing Systems (NeurIPS), 2024
7 September 2024
Hongyao Tang
Glen Berseth
OffRL
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Papers citing
"Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn"
4 / 4 papers shown
Title
The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
Phuc Minh Nguyen
Chinh D. La
Duy M. Nguyen
Nitesh Chawla
Binh T. Nguyen
Khoa D. Doan
ReLM
LRM
789
0
1
02 Oct 2025
How Should We Meta-Learn Reinforcement Learning Algorithms?
Alexander David Goldie
Zilin Wang
Jakob Foerster
Jakob N. Foerster
Shimon Whiteson
OffRL
266
3
0
23 Jul 2025
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
Hongyao Tang
J. Obando-Ceron
Pablo Samuel Castro
Aaron Courville
Glen Berseth
182
3
0
31 May 2025
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Bryan Chan
Anson Leung
James Bergstra
OffRL
OnRL
482
2
0
19 Oct 2024
1