Deep Reinforcement Learning with Plasticity Injection

24 May 2023

Papers citing "Deep Reinforcement Learning with Plasticity Injection"

41 / 41 papers shown

Title
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection Seyed Roozbeh Razavi Rohani Khashayar Khajavi Wesley Chung Mo Chen Sharan Vaswani CLL AI4CE 28 0 0 14 May 2025
Generalization in Monitored Markov Decision Processes (Mon-MDPs) Montaser Mohammedalamen Michael Bowling 19 0 0 13 May 2025
Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation Zhiqiang He Zhi Liu CLL 62 0 0 02 May 2025
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning Mingqi Yuan Qi Wang Guozheng Ma Bo-wen Li Xin Jin Yunbo Wang Xiaokang Yang Wenjun Zeng D. Tao OffRL AI4CE 33 0 0 24 Apr 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning Jiahua Lan Sen Zhang Haixia Pan Ruijun Liu Li Shen Dacheng Tao CLL 28 0 0 09 Apr 2025
Experience Replay Addresses Loss of Plasticity in Continual Learning Jiuqi Wang Rohan Chandra Shangtong Zhang CLL KELM 49 0 0 25 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling Reginald McLean Evangelos Chataroulas Jordan Terry Isaac Woungang Nariman Farsad Pablo Samuel Castro LRM 44 1 0 07 Mar 2025
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss Sangyeon Park Isaac Han Seungwon Oh Kyung-Joong Kim 62 2 0 03 Feb 2025
Audiopedia: Audio QA with Knowledge Abhirama Subramanyam Penamakuri Kiran Chhatre Akshat Jain KELM AuLLM RALM 58 0 0 31 Dec 2024
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Benjamin Ellis Matthew Jackson Andrei Lupu Alexander David Goldie Mattie Fellows Shimon Whiteson Jakob Foerster 85 0 0 22 Dec 2024
Parseval Regularization for Continual Reinforcement Learning Wesley Chung Lynn Cherif D. Meger Doina Precup CLL 78 2 0 10 Dec 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity Baekrok Shin Junsoo Oh Hanseul Cho Chulhee Yun AI4CE 52 1 0 30 Oct 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning Xinran Li Ling Pan Jun Zhang 20 1 0 11 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 39 1 0 11 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Aaron C. Courville L. Pan 42 3 0 10 Oct 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 53 0 0 19 Aug 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 42 3 0 09 Jul 2024
Normalization and effective learning rates in reinforcement learning Clare Lyle Zeyu Zheng Khimya Khetarpal James Martens H. V. Hasselt Razvan Pascanu Will Dabney 19 7 0 01 Jul 2024
Weight Clipping for Deep Continual and Reinforcement Learning Mohamed Elsayed Qingfeng Lan Clare Lyle A. Rupam Mahmood 29 9 0 01 Jul 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning Arthur Juliani Jordan T. Ash OffRL OnRL CLL 47 5 0 29 May 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 34 4 0 26 May 2024
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline Wenjia Meng Qian Zheng Long Yang Yilong Yin Gang Pan OffRL 34 0 0 04 May 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO Skander Moalla Andrea Miele Razvan Pascanu Çağlar Gülçehre 26 5 0 01 May 2024
K-percent Evaluation for Lifelong RL Golnaz Mesbahi Parham Mohammad Panahi Olya Mastikhina Martha White Adam White CLL OffRL 34 0 0 02 Apr 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning Mohamed Elsayed A. R. Mahmood CLL 50 20 0 31 Mar 2024
Diverse Feature Learning by Self-distillation and Reset Sejik Park CLL 39 1 0 29 Mar 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 34 3 0 09 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning Michal Nauman Michal Bortkiewicz Piotr Milo's Tomasz Trzciñski M. Ostaszewski Marek Cygan OffRL 30 17 0 01 Mar 2024
Disentangling the Causes of Plasticity Loss in Neural Networks Clare Lyle Zeyu Zheng Khimya Khetarpal H. V. Hasselt Razvan Pascanu James Martens Will Dabney AI4CE 55 32 0 29 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 48 11 0 22 Feb 2024
In value-based deep reinforcement learning, a pruned network is a good network J. Obando-Ceron Aaron C. Courville Pablo Samuel Castro OffRL 38 18 0 19 Feb 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 40 28 0 30 Oct 2023
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma Lu Li Sen Zhang Zixuan Liu Zhen Wang Yixin Chen Li Shen Xueqian Wang Dacheng Tao OffRL 45 16 0 11 Oct 2023
Maintaining Plasticity in Continual Learning via Regenerative Regularization Saurabh Kumar Henrik Marklund Benjamin Van Roy CLL KELM 34 16 0 23 Aug 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 30 23 0 03 Jul 2023
Resetting the Optimizer in Deep RL: An Empirical Study Kavosh Asadi Rasool Fakoor Shoham Sabach ODL 16 23 0 30 Jun 2023
Maintaining Plasticity in Deep Continual Learning Shibhansh Dohare J. F. Hernandez-Garcia Parash Rahman A. R. Mahmood Richard S. Sutton KELM CLL 30 27 0 23 Jun 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 96 180 0 16 May 2022
Architecture Matters in Continual Learning Seyed Iman Mirzadeh Arslan Chaudhry Dong Yin Timothy Nguyen Razvan Pascanu Dilan Görür Mehrdad Farajtabar OOD KELM 116 58 0 01 Feb 2022
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 37 14 0 18 Feb 2021