Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

28 June 2018

Papers citing "Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation"

42 / 42 papers shown

Title
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning Taiwei Shi Yiyang Wu Linxin Song Dinesh Manocha Jieyu Zhao LRM 86 3 0 07 Apr 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 67 3 0 21 Mar 2025
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 38 0 0 06 Nov 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 45 22 0 06 Jun 2024
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning Richard Bornemann Gautier Hamon Eleni Nisioti Clément Moulin-Frier LRM 27 1 0 01 Nov 2023
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning Bradford T. Windsor Brandon O'Shea Mengxi Wu 36 0 0 26 Mar 2023
Hierarchically Composing Level Generators for the Creation of Complex Structures Michael Beukman Manuel A. Fokam Marcel Kruger Guy Axelrod Muhammad Umair Nasir Branden Ingram Benjamin Rosman Steven D. James 40 9 0 03 Feb 2023
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation Zifan Xu Bo Liu Xuesu Xiao Anirudh Nair Peter Stone 36 42 0 10 Oct 2022
Deep Surrogate Assisted Generation of Environments Varun Bhatt Bryon Tjanaka Matthew C. Fontaine Stefanos Nikolaidis 56 35 0 09 Jun 2022
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels Michael Beukman C. Cleghorn Steven D. James 31 15 0 14 Apr 2022
Local Feature Swapping for Generalization in Reinforcement Learning David Bertoin Emmanuel Rachelson OOD 23 14 0 13 Apr 2022
Transfer Dynamics in Emergent Evolutionary Curricula Aaron Dharna Amy K. Hoover Julian Togelius Lisa Soros 27 6 0 03 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 46 11 0 01 Mar 2022
Situated Dialogue Learning through Procedural Environment Generation Prithviraj Ammanabrolu Renee Jia Mark O. Riedl 109 14 0 07 Oct 2021
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl Nicola Pezzotti 27 1 0 21 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 55 181 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
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 30 63 0 17 Jun 2021
Learning Controllable Content Generators Sam Earle Maria Edwards Ahmed Khalifa Philip Bontrager Julian Togelius 27 45 0 06 May 2021
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution Takumi Tanabe Kazuto Fukuchi Jun Sakuma Youhei Akimoto 24 11 0 13 Apr 2021
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 71 744 0 05 Apr 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
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 50 175 0 10 Mar 2021
Adversarial Reinforcement Learning for Procedural Content Generation Linus Gisslén Andy Eakins Camilo Gordillo Joakim Bergdahl Konrad Tollmar 29 48 0 08 Mar 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 27 77 0 06 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 22 125 0 19 Mar 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 27 56 0 24 Feb 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
PCGRL: Procedural Content Generation via Reinforcement Learning Ahmed Khalifa Philip Bontrager Sam Earle Julian Togelius 18 143 0 24 Jan 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 45 541 0 03 Dec 2019
Procedural Content Generation through Quality Diversity Daniele Gravina Ahmed Khalifa Antonios Liapis Julian Togelius Georgios N. Yannakakis 21 128 0 09 Jul 2019
Tree Search vs Optimization Approaches for Map Generation Debosmita Bhaumik Ahmed Khalifa M. Green Julian Togelius 13 4 0 27 Mar 2019
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 48 659 0 06 Dec 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 16 808 0 07 Sep 2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network Vanessa Volz Jacob Schrum Jialin Liu Simon Lucas Adam M. Smith S. Risi GAN 65 230 0 02 May 2018
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 810 0 13 Nov 2016