On The Effect of Auxiliary Tasks on Representation Dynamics

25 February 2021

Papers citing "On The Effect of Auxiliary Tasks on Representation Dynamics"

20 / 20 papers shown

Title
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion Dong Zhang Kwang-Ting Cheng MedIm 25 0 0 03 Jan 2025
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents Andrew Liu Alla Borisyuk 37 1 0 03 Jul 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 24 21 0 17 Jan 2024
TD Convergence: An Optimization Perspective Kavosh Asadi Shoham Sabach Yao Liu Omer Gottesman Rasool Fakoor MU 20 8 0 30 Jun 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions Nishil Patel Sebastian Lee Stefano Sarao Mannelli Sebastian Goldt Adrew Saxe OffRL 36 3 0 17 Jun 2023
Towards a Better Understanding of Representation Dynamics under TD-learning Yunhao Tang Rémi Munos OffRL 29 2 0 29 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 33 2 0 09 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 24 2 0 01 May 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang Hao Fei Jianye Hao 25 1 0 02 Mar 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 26 19 0 26 Jan 2023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces Charline Le Lan Joshua Greaves Jesse Farebrother Mark Rowland Fabian Pedregosa Rishabh Agarwal Marc G. Bellemare 52 8 0 08 Dec 2022
Auxiliary task discovery through generate-and-test Banafsheh Rafiee Sina Ghiassian Jun Jin R. Sutton Jun Luo Adam White 21 0 0 25 Oct 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 35 18 0 15 Sep 2022
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 30 12 0 05 Jun 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney CLL 36 110 0 20 Apr 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 25 21 0 01 Jan 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 44 7 0 08 Dec 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 31 134 0 01 Jul 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 286 341 0 14 Sep 2020