Prioritized Level Replay

8 October 2020

Papers citing "Prioritized Level Replay"

43 / 43 papers shown

Title
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe Pablo Samuel Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 56 0 0 08 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 81 1 0 28 Jan 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 152 2 0 20 Jan 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 31 0 0 07 Nov 2024
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots Maria Bauzá José Enrique Chen Valentin Dalibard Nimrod Gileadi Roland Hafner ... Martin Riedmiller Jon Scholz Konstantinos Bousmalis Francesco Nori Nicolas Heess 34 5 0 10 Sep 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 37 21 0 06 Jun 2024
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu Yijie Guo Jie Xu Ankit Goyal Hao Su Dieter Fox Animesh Garg LM&Ro 44 0 0 11 Apr 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 50 1 0 26 Mar 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
Transferable Curricula through Difficulty Conditioned Generators Sidney Tio Pradeep Varakantham 19 4 0 22 Jun 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning Cevahir Köprülü Ufuk Topcu 23 3 0 25 May 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 28 22 0 21 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
Generalization through Diversity: Improving Unsupervised Environment Design Wenjun Li Pradeep Varakantham Dexun Li 27 7 0 19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 108 0 18 Jan 2023
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans Phillip Isola OffRL 44 9 0 23 Nov 2022
Teacher-student curriculum learning for reinforcement learning Yanick Schraner OffRL 37 2 0 31 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 32 3 0 20 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 29 12 0 19 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 36 30 0 16 Sep 2022
GriddlyJS: A Web IDE for Reinforcement Learning C. Bamford Minqi Jiang Mikayel Samvelyan Tim Rocktaschel OnRL 38 4 0 13 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 43 13 0 11 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 24 0 26 Jun 2022
Deep Surrogate Assisted Generation of Environments Varun Bhatt Bryon Tjanaka Matthew C. Fontaine Stefanos Nikolaidis 53 35 0 09 Jun 2022
Watts: Infrastructure for Open-Ended Learning Aaron Dharna Charlie Summers Rohin Dasari Julian Togelius Amy K. Hoover 22 1 0 28 Apr 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 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
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 59 633 0 30 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 40 181 0 27 Jul 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 278 109 0 13 Jul 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang Yuhong Guo 22 23 0 29 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 15 62 0 17 Jun 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe 22 25 0 15 Jun 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 109 117 0 21 Oct 2020