Interference and Generalization in Temporal Difference Learning

13 March 2020

Papers citing "Interference and Generalization in Temporal Difference Learning"

39 / 39 papers shown

Title
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning Guozheng Ma Lu Li Zilin Wang Li Shen Pierre-Luc Bacon Dacheng Tao OffRL 10 0 0 20 Jun 2025
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn Hongyao Tang J. Obando-Ceron Pablo Samuel Castro Aaron Courville Glen Berseth 31 0 0 31 May 2025
Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator Chenhao Li Andreas Krause Marco Hutter OffRL 56 0 0 23 Apr 2025
Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being Bin Yin Chong-Yi Liu Liya Fu Jinkun Zhang AI4TS 80 1 0 24 Feb 2025
Continual Task Learning through Adaptive Policy Self-Composition Shengchao Hu Yuhang Zhou Ziqing Fan Jifeng Hu Li Shen Ya Zhang Dacheng Tao OffRL 123 0 0 18 Nov 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Hongyao Tang Glen Berseth OffRL 90 2 0 07 Sep 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang 84 7 0 28 Mar 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 89 4 0 07 Feb 2024
The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta Qingfei You Minqi Jiang Roberta Raileanu OffRL 133 14 0 10 Dec 2023
Measuring and Mitigating Interference in Reinforcement Learning Vincent Liu Han Wang Ruo Yu Tao Khurram Javed Adam White Martha White 110 6 0 10 Jul 2023
Minibatch training of neural network ensembles via trajectory sampling Jamie F. Mair Luke Causer J. P. Garrahan 64 0 0 23 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 73 23 0 08 Jun 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang Tianyi Zhou Jing Jiang Guodong Long Yuhui Shi CLL OffRL 88 9 0 29 May 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 108 99 0 24 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 129 0 0 04 Feb 2023
Learning to Optimize for Reinforcement Learning Qingfeng Lan Rupam Mahmood Shuicheng Yan Zhongwen Xu OffRL 108 7 0 03 Feb 2023
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 87 16 0 20 Nov 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon JunYeong Lee Hyun Oh Song OOD OffRL 62 16 0 18 Oct 2022
Learning GFlowNets from partial episodes for improved convergence and stability Kanika Madan Jarrid Rector-Brooks Maksym Korablyov Emmanuel Bengio Moksh Jain A. Nica Tom Bosc Yoshua Bengio Nikolay Malkin 98 102 0 26 Sep 2022
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 74 13 0 05 Jun 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 150 196 0 16 May 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Ziqiang Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 82 110 0 03 Feb 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 264 186 0 31 Jan 2022
Quantum Architecture Search via Continual Reinforcement Learning Esther Ye Samuel Yen-Chi Chen 67 30 0 10 Dec 2021
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar Rishabh Agarwal Tengyu Ma Aaron Courville George Tucker Sergey Levine OffRL 89 69 0 09 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 103 172 0 18 Nov 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning Georg Ostrovski Pablo Samuel Castro Will Dabney OffRL 66 59 0 26 Oct 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan OffRL 70 18 0 01 Sep 2021
Disparity Between Batches as a Signal for Early Stopping Mahsa Forouzesh Patrick Thiran 96 8 0 14 Jul 2021
Preferential Temporal Difference Learning N. Anand Doina Precup OOD 48 9 0 11 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 105 338 0 08 Jun 2021
Correcting Momentum in Temporal Difference Learning Emmanuel Bengio Joelle Pineau Doina Precup 59 10 0 07 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 86 56 0 11 May 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 98 99 0 20 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 142 324 0 25 Dec 2020
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning Aviral Kumar Rishabh Agarwal Dibya Ghosh Sergey Levine OffRL 81 123 0 27 Oct 2020
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms Shangtong Zhang Romain Laroche H. V. Seijen Shimon Whiteson Rémi Tachet des Combes 120 15 0 02 Oct 2020
Towards a practical measure of interference for reinforcement learning Vincent Liu Adam White Hengshuai Yao Martha White 41 5 0 07 Jul 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 98 775 0 27 May 2020