On the Importance of Exploration for Generalization in Reinforcement Learning

8 June 2023

J. Zico Kolter

Papers citing "On the Importance of Exploration for Generalization in Reinforcement Learning"

21 / 21 papers shown

Title
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning Max Weltevrede Moritz A. Zanger M. Spaan Wendelin Bohmer OffRL FedML 15 0 0 22 May 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 47 1 0 02 Mar 2025
Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies Zheli Xiong 49 0 0 23 Feb 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 288 0 0 22 Jan 2025
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics S. Hazra P. Dasgupta Soumyajit Dey 46 0 0 21 Jan 2025
TransferLight: Zero-Shot Traffic Signal Control on any Road-Network J. Schmidt Frank Dreyer Sayed Abid Hashimi Sebastian Stober 82 0 0 12 Dec 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 44 1 0 27 Oct 2024
Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and Scale Andrew Jesson Yiding Jiang OffRL 34 2 0 13 Oct 2024
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning Max Weltevrede Felix Kaubek M. Spaan Wendelin Bohmer 57 0 0 12 Jun 2024
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning Xuezhi Niu Kaige Tan Lei Feng 23 0 0 11 Jun 2024
AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation Arkajit Datta Tushar Verma Rajat Chawla Mukunda N. S Ishaan Bhola LM&Ro 36 1 0 15 Mar 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models Anthony Sicilia Hyunwoo J. Kim Khyathi Raghavi Chandu Malihe Alikhani Jack Hessel 20 1 0 05 Feb 2024
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 38 4 0 12 Jun 2023
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages Andrew Jesson Chris Xiaoxuan Lu Gunshi Gupta Angelos Filos Jakob N. Foerster Y. Gal OffRL 31 5 0 02 Jun 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 182 0 16 May 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 286 109 0 13 Jul 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 92 24 0 01 Jan 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 112 117 0 21 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 290 341 0 14 Sep 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016