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2003.06350
Cited By
Interference and Generalization in Temporal Difference Learning
International Conference on Machine Learning (ICML), 2020
13 March 2020
Emmanuel Bengio
Joelle Pineau
Doina Precup
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Papers citing
"Interference and Generalization in Temporal Difference Learning"
42 / 42 papers shown
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
J. Obando-Ceron
Walter Mayor
Samuel Lavoie
Scott Fujimoto
Aaron Courville
Pablo Samuel Castro
191
7
0
15 Oct 2025
Imagined Autocurricula
Ahmet H. Güzel
Matthew Jackson
Jarek Liesen
Tim Rocktaschel
Jakob Foerster
Ilija Bogunovic
Jack Parker-Holder
311
2
0
11 Sep 2025
Synthetic Data is Sufficient for Zero-Shot Visual Generalization from Offline Data
Ahmet H. Güzel
Ilija Bogunovic
Jack Parker-Holder
OffRL
OnRL
261
0
0
17 Aug 2025
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
Guozheng Ma
Lu Li
Zilin Wang
Li Shen
Pierre-Luc Bacon
Dacheng Tao
OffRL
231
8
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
242
12
0
31 May 2025
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
Chenhao Li
Andreas Krause
Marco Hutter
OffRL
511
6
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
357
0
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
470
1
0
18 Nov 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
Neural Information Processing Systems (NeurIPS), 2024
Hongyao Tang
Glen Berseth
OffRL
369
12
0
07 Sep 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
409
19
0
28 Mar 2024
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
374
8
0
07 Feb 2024
The Generalization Gap in Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
541
24
0
10 Dec 2023
Measuring and Mitigating Interference in Reinforcement Learning
Vincent Liu
Zheng Chen
Ruo Yu Tao
Khurram Javed
Adam White
Martha White
431
9
0
10 Jul 2023
Minibatch training of neural network ensembles via trajectory sampling
Jamie F. Mair
Luke Causer
J. P. Garrahan
322
0
0
23 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Yiding Jiang
J. Zico Kolter
Roberta Raileanu
UQCV
OffRL
235
40
0
08 Jun 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
International Conference on Machine Learning (ICML), 2023
Yijun Yang
Tianyi Zhou
Jing Jiang
Guodong Long
Yuhui Shi
CLL
OffRL
399
14
0
29 May 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Ghada Sokar
Rishabh Agarwal
Pablo Samuel Castro
Utku Evci
CLL
369
149
0
24 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
International Conference on Learning Representations (ICLR), 2023
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
595
5
0
04 Feb 2023
Learning to Optimize for Reinforcement Learning
Qingfeng Lan
Rupam Mahmood
Shuicheng Yan
Zhongwen Xu
OffRL
503
10
0
03 Feb 2023
Adversarial Cheap Talk
International Conference on Machine Learning (ICML), 2022
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
370
17
0
20 Nov 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Seungyong Moon
JunYeong Lee
Hyun Oh Song
OOD
OffRL
266
16
0
18 Oct 2022
Learning GFlowNets from partial episodes for improved convergence and stability
International Conference on Machine Learning (ICML), 2022
Kanika Madan
Jarrid Rector-Brooks
Maksym Korablyov
Emmanuel Bengio
Moksh Jain
A. Nica
Tom Bosc
Yoshua Bengio
Nikolay Malkin
329
134
0
26 Sep 2022
Learning Dynamics and Generalization in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
Marta Z. Kwiatkowska
Y. Gal
OOD
OffRL
238
17
0
05 Jun 2022
The Primacy Bias in Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Rameswar Panda
OnRL
388
265
0
16 May 2022
Generative Flow Networks for Discrete Probabilistic Modeling
International Conference on Machine Learning (ICML), 2022
Dinghuai Zhang
Nikolay Malkin
Ziqiang Liu
Alexandra Volokhova
Aaron Courville
Yoshua Bengio
440
131
0
03 Feb 2022
Trajectory balance: Improved credit assignment in GFlowNets
Neural Information Processing Systems (NeurIPS), 2022
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
601
266
0
31 Jan 2022
Quantum Architecture Search via Continual Reinforcement Learning
Esther Ye
Samuel Yen-Chi Chen
354
43
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
247
84
0
09 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk
Amy Zhang
Edward Grefenstette
Tim Rocktaschel
OffRL
874
249
0
18 Nov 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning
Georg Ostrovski
Pablo Samuel Castro
Will Dabney
OffRL
203
70
0
26 Oct 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
220
24
0
01 Sep 2021
Disparity Between Batches as a Signal for Early Stopping
Mahsa Forouzesh
Patrick Thiran
370
12
0
14 Jul 2021
Preferential Temporal Difference Learning
International Conference on Machine Learning (ICML), 2021
N. Anand
Doina Precup
OOD
199
9
0
11 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Neural Information Processing Systems (NeurIPS), 2021
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
424
475
0
08 Jun 2021
Correcting Momentum in Temporal Difference Learning
Emmanuel Bengio
Joelle Pineau
Doina Precup
250
11
0
07 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
International Conference on Machine Learning (ICML), 2021
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
368
67
0
11 May 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Roberta Raileanu
Rob Fergus
DRL
OffRL
340
115
0
20 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
670
405
0
25 Dec 2020
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Aviral Kumar
Rishabh Agarwal
Dibya Ghosh
Sergey Levine
OffRL
414
151
0
27 Oct 2020
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Shangtong Zhang
Romain Laroche
H. V. Seijen
Shimon Whiteson
Rémi Tachet des Combes
540
15
0
02 Oct 2020
Towards a practical measure of interference for reinforcement learning
Vincent Liu
Adam White
Hengshuai Yao
Martha White
242
6
0
07 Jul 2020
MOPO: Model-based Offline Policy Optimization
Neural Information Processing Systems (NeurIPS), 2020
Tianhe Yu
G. Thomas
Lantao Yu
Stefano Ermon
James Zou
Sergey Levine
Chelsea Finn
Tengyu Ma
OffRL
869
906
0
27 May 2020
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