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ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

6 May 2016

Papers citing "ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning"

50 / 361 papers shown

Title
Learning Abstract World Models with a Group-Structured Latent Space Thomas Delliaux Nguyen-Khanh Vu Vincent François-Lavet Elise van der Pol Emmanuel Rachelson DRL 47 0 0 02 Jun 2025
VideoGameBench: Can Vision-Language Models complete popular video games? Alex Zhang Thomas Griffiths Karthik Narasimhan Ofir Press VLM 84 0 0 23 May 2025
Do We Need Transformers to Play FPS Video Games? Karmanbir Batth Krish Sethi Aly Shariff Leo Shi Hetul Patel OffRL AI4CE 78 0 0 24 Apr 2025
Agent-Arena: A General Framework for Evaluating Control Algorithms Halid Abdulrahim Kadi K. Terzic AI4CE 38 0 0 08 Apr 2025
HA-VLN: A Benchmark for Human-Aware Navigation in Discrete-Continuous Environments with Dynamic Multi-Human Interactions, Real-World Validation, and an Open Leaderboard Yifei Dong Fengyi Wu Qi He Heng Li Minghan Li ... Yuxuan Zhou Jingdong Sun Qi Dai Zhi-Qi Cheng Alexander G. Hauptmann LM&Ro 85 0 0 18 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 504 2 0 14 Mar 2025
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin Meng Fang Mykola Pechenizkiy 114 2 0 11 Mar 2025
A2Perf: Real-World Autonomous Agents Benchmark Ikechukwu Uchendu Jason J. Jabbour Korneel Van den Berghe Joel Runevic Matthew P. Stewart ... S. Guadarrama Jie Tan Jordan K. Terry Aleksandra Faust Vijay Janapa Reddi 83 0 0 04 Mar 2025
Playable Game Generation Mingyu Yang Junyou Li Zhongbin Fang Sheng Chen Yangbin Yu Qiang Fu Wei Yang Deheng Ye VGen 123 10 0 01 Dec 2024
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents Kevin Godin-Dubois Karine Miras Anna V. Kononova 92 0 0 20 Nov 2024
Innate-Values-driven Reinforcement Learning based Cognitive Modeling Qin Yang 77 0 0 14 Nov 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments Mariusz Wisniewski Paraskevas Chatzithanos Weisi Guo Antonios Tsourdos 59 3 0 18 Oct 2024
Evolutionary Retrofitting Mathurin Videau M. Zameshina Alessandro Leite Laurent Najman Marc Schoenauer O. Teytaud 88 0 0 15 Oct 2024
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment C. Voelcker Marcel Hussing Eric Eaton OffRL 71 3 0 11 Oct 2024
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning Chen Zhang Huan Hu Yuan Zhou Qiyang Cao Ruochen Liu Wenya Wei Elvis S. Liu AI4CE 116 0 0 07 Oct 2024
CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation Fuxian Huang Qi Zhang Shaopeng Zhai Jie Wang Tianyi Zhang Haoran Zhang Ming Zhou Yu Liu Yu Qiao CLIP AI4TS 77 0 0 24 Sep 2024
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents Xiao-Yang Liu Tianjie Zhang Yu Gu Iat Long Iong Yifan Xu ... Zhengxiao Du Chan Hee Song Yu Su Yuxiao Dong Jie Tang VLM LLMAG 121 38 0 12 Aug 2024
A Review of Nine Physics Engines for Reinforcement Learning Research Michael Kaup Cornelius Wolff Hyerim Hwang Julius Mayer Elia Bruni AI4CE 74 8 0 11 Jul 2024
A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents Andrew Liu Alla Borisyuk 146 1 0 03 Jul 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 125 0 0 01 Jul 2024
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions Minghan Li Heng Li Zhi-Qi Cheng Yifei Dong Yuxuan Zhou Jun-Yan He Qi Dai Teruko Mitamura Alexander G. Hauptmann LM&Ro 83 6 0 27 Jun 2024
Imitation Learning: A Survey of Learning Methods, Environments and Metrics Nathan Gavenski Odinaldo Rodrigues Michael Luck 79 167 0 30 Apr 2024
Emergent Braitenberg-style Behaviours for Navigating the ViZDoom `My Way Home' Labyrinth Caleidgh Bayer Robert J. Smith M. Heywood 78 0 0 09 Apr 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Kumar Misra Akanksha Saran Tengyang Xie Alex Lamb John Langford SSL OffRL 75 6 0 20 Mar 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning Junseok Park Yoonsung Kim Hee Bin Yoo Min Whoo Lee Kibeom Kim Won-Seok Choi Minsu Lee Byoung-Tak Zhang OffRL 68 1 0 11 Mar 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations Stefan Sylvius Wagner Stefan Harmeling 62 2 0 05 Feb 2024
Behavioural Cloning in VizDoom Ryan Spick Timothy Bradley Ayush Raina P. Amadori Guy Moss LM&Ro 47 1 0 08 Jan 2024
Enhancing Robot Program Synthesis Through Environmental Context Tianyi Chen Qidi Wang Zhen Dong Liwei Shen Xin Peng 45 4 0 13 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 146 0 0 05 Dec 2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines Yu-An Lin Chen-Tao Lee Guanhui. Liu Pu-Jen Cheng Shao-Hua Sun 64 0 0 27 Nov 2023
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery Ekaterina Nikonova Cheng Xue Jochen Renz CLL 59 1 0 24 Nov 2023
Evolutionary Machine Learning and Games Julian Togelius Ahmed Khalifa Sam Earle M. Green Lisa Soros 74 1 0 20 Nov 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 115 0 0 17 Nov 2023
Environmental-Impact Based Multi-Agent Reinforcement Learning Farinaz Alamiyan Harandi Pouria Ramazi 113 1 0 06 Nov 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 55 5 0 31 Oct 2023
State of the Art on Diffusion Models for Visual Computing Ryan Po Wang Yifan Vladislav Golyanik Kfir Aberman Jonathan T. Barron ... Matthias Nießner Bjorn Ommer Christian Theobalt Peter Wonka Gordon Wetzstein 130 111 0 11 Oct 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models Yao Fu Run Peng Honglak Lee 63 1 0 25 Aug 2023
Deep reinforcement learning for process design: Review and perspective Qitong Gao Artur M. Schweidtmann AI4CE 77 19 0 15 Aug 2023
Towards General Game Representations: Decomposing Games Pixels into Content and Style C. Trivedi Konstantinos Makantasis Antonios Liapis Georgios N. Yannakakis OCL 86 3 0 20 Jul 2023
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games Hyeonchang Jeon In-Chang Baek Cheong-mok Bae Taehwa Park Wonsang You Taegwan Ha Hoyun Jung Jinha Noh Seungwon Oh Kyung-Joong Kim 106 11 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 21 0 0 30 Jun 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 123 212 0 24 Jun 2023
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation Xiwen Liang Liang Ma Shanshan Guo Jianhua Han Hang Xu Shikui Ma Xiaodan Liang LM&Ro LLMAG 152 4 0 17 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 96 5 0 13 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 57 6 0 12 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 182 157 0 05 Jun 2023
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning A. Liu Alla Borisyuk 48 7 0 01 Jun 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Hemanth Manjunatha A. Pak Dimitar Filev Panagiotis Tsiotras 67 5 0 24 May 2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning Kibeom Kim Hyun-Dong Lee Min Whoo Lee Moonheon Lee Minsu Lee Byoung-Tak Zhang 71 1 0 23 May 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 85 13 0 26 Apr 2023