Leveraging Procedural Generation to Benchmark Reinforcement Learning

3 December 2019

Papers citing "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

50 / 286 papers shown

Title
Improving Intrinsic Exploration by Creating Stationary Objectives Roger Creus Castanyer Javier Civera Taihú Pire OffRL 37 3 0 27 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 98 12 0 12 Oct 2023
Understanding and Controlling a Maze-Solving Policy Network Ulisse Mini Peli Grietzer Mrinank Sharma Austin Meek M. MacDiarmid Alexander Matt Turner 14 15 0 12 Oct 2023
Novelty Detection in Reinforcement Learning with World Models Geigh Zollicoffer Kenneth Eaton Jonathan C. Balloch Julia Kim Mark O. Riedl Robert Wright Mark O. Riedl 23 1 0 12 Oct 2023
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 46 0 0 05 Oct 2023
How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing Shutong Jin Ruiyu Wang Muhammad Zahid Florian T. Pokorny 32 1 0 03 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 15 3 0 30 Sep 2023
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents Marco Pleines Matthias Pallasch Frank Zimmer Mike Preuss OffRL 29 0 0 29 Sep 2023
RLLTE: Long-Term Evolution Project of Reinforcement Learning Tao Lv Zequn Zhang Yang Xu Shihao Luo Bo Li Xin Jin Wenjun Zeng OffRL 37 1 0 28 Sep 2023
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning L. Govindarajan Rex G Liu Drew Linsley A. Ashok Max Reuter M. Frank Thomas Serre OffRL 21 0 0 22 Sep 2023
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning Derek Yadgaroff Alessandro Sestini Konrad Tollmar Ayca Ozcelikkale Linus Gisslén 30 2 0 22 Sep 2023
Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim Younggyo Seo Hao Liu Lisa Lee Jinwoo Shin Honglak Lee Kimin Lee 26 9 0 19 Sep 2023
A Configurable Library for Generating and Manipulating Maze Datasets Michael Ivanitskiy Rusheb Shah Alex F Spies Tilman Rauker Dan Valentine ... Lucia Quirke Chris Mathwin Guillaume Corlouer Cecilia G. Diniz Behn Samy Wu Fung Colorado School of Mines 43 11 0 19 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 47 0 0 08 Sep 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO Yangkun Chen Joseph Suárez Junjie Zhang Chenghui Yu Bo Wu ... Sharada Mohanty Jiaxin Chen Xiu Li Xiaolong Zhu Phillip Isola 32 0 0 30 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models Yao Fu Run Peng Honglak Lee 24 1 0 25 Aug 2023
Scope Loss for Imbalanced Classification and RL Exploration Hasham Burhani Xiaolong Shi Jonathan Jaegerman Daniel Balicki 19 0 0 08 Aug 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 45 0 22 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 50 2 0 21 Jul 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan Sizhe Yang Pu Hua C. Chang Kaizhe Hu Huazhe Xu OOD OffRL 24 17 0 15 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 31 5 0 13 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation Annie Xie Lisa Lee Ted Xiao Chelsea Finn 25 55 0 07 Jul 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon Junyoung Yeom Bumsoo Park Hyun Oh Song OffRL 29 3 0 07 Jul 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4 Fei Deng Junyeong Park Sungjin Ahn 32 24 0 05 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules Eric Pulick Vladimir Menkov Yonatan Dov Mintz Paul B. Kantor Vicki M. Bier OffRL 11 0 0 30 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 29 1 0 23 Jun 2023
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling Quanyi Li Zhenghao Peng Lan Feng Zhizheng Liu Chenda Duan Wen-An Mo Bolei Zhou 27 44 0 21 Jun 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 82 26 0 19 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 28 3 0 17 Jun 2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX Clément Bonnet Daniel Luo Donal Byrne Shikha Surana Sasha Abramowitz ... Siddarth S. Singh Daniel Furelos-Blanco Victor Le Arnu Pretorius Alexandre Laterre 29 29 0 16 Jun 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning Hojoon Lee Ko-tik Lee Dongyoon Hwang Hyunho Lee ByungKun Lee Jaegul Choo SSL OOD 26 5 0 09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 32 20 0 08 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning Bo Liu Yifeng Zhu Chongkai Gao Yihao Feng Qian Liu Yuke Zhu Peter Stone CLL 35 118 0 05 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff Minqi Jiang Roberta Raileanu 46 13 0 05 Jun 2023
Explore to Generalize in Zero-Shot RL E. Zisselman Itai Lavie Daniel Soudry Aviv Tamar 28 15 0 05 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 27 5 0 02 Jun 2023
Hyperparameters in Reinforcement Learning and How To Tune Them Theresa Eimer Marius Lindauer Roberta Raileanu OffRL 32 35 0 02 Jun 2023
Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li Jiafei Lyu Guozheng Ma Zilin Wang Zhen Yang Xiu Li Zhiheng Li OOD 25 8 0 01 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 83 0 30 May 2023
Exploring the Promise and Limits of Real-Time Recurrent Learning Kazuki Irie Anand Gopalakrishnan Jürgen Schmidhuber 32 15 0 30 May 2023
Towards Generalizable Reinforcement Learning for Trade Execution Chuheng Zhang Yitong Duan Xiaoyu Chen Jianyu Chen Jian Li L. Zhao OffRL 17 7 0 12 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang Chenjia Bai Hongyi Guo Siyuan Li Bin Zhao Zhen Wang Peng Liu Xuelong Li SSL 29 16 0 08 May 2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity Jinghao Xin Jinwoo Kim Zehan Li Ning Li OffRL 28 3 0 07 May 2023
Discovering Object-Centric Generalized Value Functions From Pixels Somjit Nath G. Subbaraj Khimya Khetarpal Samira Ebrahimi Kahou OCL 28 2 0 27 Apr 2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios Varun Bhatt Heramb Nemlekar Matthew C. Fontaine Bryon Tjanaka Hejia Zhang Ya-Chuan Hsu Stefanos Nikolaidis 47 8 0 26 Apr 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing Philipp Altmann Fabian Ritz Leonard Feuchtinger Jonas Nusslein Claudia Linnhoff-Popien Thomy Phan OOD OffRL 27 5 0 26 Apr 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 35 13 0 26 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 17 4 0 21 Apr 2023