Understanding and Preventing Capacity Loss in Reinforcement Learning

20 April 2022

Papers citing "Understanding and Preventing Capacity Loss in Reinforcement Learning"

30 / 80 papers shown

Title
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu Jesse Zhang Kavosh Asadi Yao Liu Ding Zhao Shoham Sabach Rasool Fakoor ALM AI4CE 21 25 0 09 Oct 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Ahmed Haj Yahmed Rached Bouchoucha Houssem Ben Braiek Foutse Khomh CLL AI4CE 28 0 0 23 Aug 2023
Maintaining Plasticity in Continual Learning via Regenerative Regularization Saurabh Kumar Henrik Marklund Benjamin Van Roy CLL KELM 31 16 0 23 Aug 2023
Measuring and Mitigating Interference in Reinforcement Learning Vincent Liu Han Wang Ruo Yu Tao Khurram Javed Adam White Martha White 22 5 0 10 Jul 2023
Resetting the Optimizer in Deep RL: An Empirical Study Kavosh Asadi Rasool Fakoor Shoham Sabach ODL 16 23 0 30 Jun 2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He Dinesh Manocha Meng Fang S. Maghsudi 32 4 0 29 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
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 82 25 0 19 Jun 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning Hojoon Lee Ko-tik Lee Dongyoon Hwang Hyunho Lee ByungKun Lee Jaegul Choo SSL OOD 26 5 0 09 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup D. Meger OffRL 25 44 0 04 Jun 2023
Deep Reinforcement Learning with Plasticity Injection Evgenii Nikishin Junhyuk Oh Georg Ostrovski Clare Lyle Razvan Pascanu Will Dabney André Barreto OffRL 20 49 0 24 May 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition Yash Chandak S. Thakoor Z. Guo Yunhao Tang Rémi Munos Will Dabney Diana Borsa 13 2 0 01 May 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother Joshua Greaves Rishabh Agarwal Charline Le Lan Ross Goroshin Pablo Samuel Castro Marc G. Bellemare 51 25 0 25 Apr 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li Aviral Kumar Ilya Kostrikov Sergey Levine OffRL 24 31 0 20 Apr 2023
Loss of Plasticity in Continual Deep Reinforcement Learning Zaheer Abbas Rosie Zhao Joseph Modayil Adam White Marlos C. Machado CLL OffRL 28 73 0 13 Mar 2023
Understanding plasticity in neural networks Clare Lyle Zeyu Zheng Evgenii Nikishin Bernardo Avila-Pires Razvan Pascanu Will Dabney AI4CE 35 97 0 02 Mar 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang M. Zhang Jianye Hao 23 1 0 02 Mar 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 51 88 0 24 Feb 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 18 9 0 20 Feb 2023
Learning to Optimize for Reinforcement Learning Qingfeng Lan Rupam Mahmood Shuicheng Yan Zhongwen Xu OffRL 26 6 0 03 Feb 2023
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 35 10 0 02 Nov 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 34 38 0 29 Sep 2022
Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks Daniel Harnack Julie Pivin-Bachler Nicolás Navarro-Guerrero 11 3 0 20 Jul 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron C. Courville Marc G. Bellemare OffRL OnRL 26 63 0 03 Jun 2022
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He Huangyuan Su Jieyu Zhang Xinwen Hou OOD OffRL 20 6 0 29 May 2022
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
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang Xufang Luo Keith Ross Dongsheng Li OffRL 26 49 0 17 Feb 2022
When, where, and how to add new neurons to ANNs Kaitlin Maile Emmanuel Rachelson H. Luga Dennis G. Wilson 21 14 0 17 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