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30.07.2024 |
Yuna Tokuda |
Sample Efficient Reinforcement Learning with Double Importance Sampling Weight Clipping |
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30.07.2024 |
Shota Kamei |
Mastering the Game of Go with Deep Neural Networks and Tree Search |
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26.06.2024 |
Takuya Yahagi |
All Birds Must Fly: The Experience of Multimodal Hands-free Gaming |
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26.06.2024 |
Hajime Fukai |
Map Diffusion — Text Promptable Map Generation Diffusion Model |
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19.06.2024 |
Ryoma Usui |
Toward Artificial Open-ended Evolution within Lenia using Quality-Diversity |
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19.06.2024 |
Akihiro Komatsu |
QuestVille: Procedural Quest Generation Using NLP Models |
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22.05.2024 |
Joan Quinn |
Interpretable Utility-based Models Applied to the FightingICE Platform |
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22.05.2024 |
Hiroto Sawai |
Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning |
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15.05.2024 |
Shota Kamei |
Attention is All You Need |
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15.05.2024 |
Koki Nakagawa |
Research on Online Game Based on Artificial Intelligence Algorithm |
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01.05.2024 |
Takuya Yahagi |
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation |
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01.05.2024 |
Hajime Fukai |
Sketch2Map: A Game Map Design Support System Allowing Quick Hand Sketch Prototyping |
|
17.04.2024 |
Akihiro Komatsu |
The Turing Quest: Can Transformers Make Good NPCs? |
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17.04.2024 |
Ryoma Usui |
Discovering Sensorimotor Agency in Cellular Automata using Diversity Search |
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29.11.2023 |
Shota Kamei |
Playing FPS Games with Deep Reinforcement Learning |
|
22.11.2023 |
Takuya Yahagi |
SUPERNOVA: Automating Test Selection in AAA Video Games |
|
15.11.2023 |
Hajime Fukai |
Voyager: An Open-ended Embodied Agent with LLM |
|
15.11.2023 |
Akihiro Komatsu |
Flexible Story Generation with Norms and Preferences in CRPG |
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08.11.2023 |
Gai Nakazawa |
Dungeons & Replicants II: Automated Game Balancing Across Multiple Difficulty Dimensions |
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08.11.2023 |
Ryo Ikarashi |
Humans vs AI in Detecting Vehicles and Humans in Driving Scenarios |
|
01.11.2023 |
Ryoma Usui |
Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs |
|
25.10.2023 |
Ippo Wakana |
Achieving Mouse-Level Strategic Evasion Performance using Real-Time Computational Planning |
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12.07.2023 |
Taisei Tsunoda |
ML Faculty for Adapting Competitive Game Strategies |
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12.07.2023 |
Shota Kamei |
The Game of Tetris in Machine Learning |
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21.06.2023 |
Takuya Yahagi |
Online Game Bot Detection Based on Party-play Log Analysis |
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21.06.2023 |
Hajime Fukai |
Generation of Diverse Stages in Turn-Based Role-Playing Game using Reinforcement Learning |
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14.06.2023 |
Ryo Ikarashi |
Use Chat GPT to Solve Programming Bugs |
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14.06.2023 |
Akihiro Komatsu |
Exploring the Viability of Conversational AI for NPC |
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31.05.2023 |
Gai Nakazawa |
Chain of Thought Imitation with Procedure Cloning |
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24.05.2023 |
Riku Tanji |
Survey Analysis on Reasons for Dropout from Continuous Gameplay |
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24.05.2023 |
Ryoma Usui |
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning |
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17.05.2023 |
Ippo Wakana |
Uprising E-Sports Industry: Machine Learning Improve In-Game Performance Using Deep RL |
|
10.05.2023 |
Tu Yuan |
Keep Calm and Aim for the Head: Biofeedback-Controlled Dynamic Difficulty Adjustment in a Horror Game |
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12.04.2023 |
Hajime Fukai |
Automatic Generation of Super Mario Levels via Graph Grammars |
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12.04.2023 |
Takuya Yahagi |
Discovering Unique Game Variants |
|
05.04.2023 |
Riku Tanji |
Learning Montezuma's Revenge from a Single Demonstration |
|
30.11.2022 |
Akihiro Komatsu |
Find Your Organization in MMORPGs |
|
30.11.2022 |
Tu Yuan |
Conceptualizing BCI and AI in Video Games |
|
16.11.2022 |
Gai Nakazawa |
Mitigating Cowardice for Reinforcement Learning Agents in Combat Scenarios |
|
02.11.2022 |
Ryoma Usui |
Human and Multi-agent Collaboration in a Human-MARL Teaming Framework |
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02.11.2022 |
Yuto Takiguchi |
Playing Football Game Using AI Agents |
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26.10.2022 |
Tu Yuan |
Location-based Game to Enhance player's Experience in Survival Horror Game |
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26.10.2022 |
Riku Tanji |
Beating the World's Best at Super Smash Bros. Melee with Deep Reinforcement Learning |
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19.10.2022 |
Gai Nakazawa |
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation |
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19.10.2022 |
Ippo Wakana |
Towards a Competitive 3-Player Mahjong AI using Deep Reinforcement Learning |
|
11.08.2022 |
Haruki Anbai |
How Does AI Play Football? An Analysis of RL and Real-world Football Strategies |
|
11.08.2022 |
Ryoma Usui |
Hierarchical Control for Multi-Agent Autonomous Racing |
|
03.08.2022 |
Yuto Takiguchi |
Autonomous Agents in Snake Game via Deep Reinforcement Learning |
|
03.08.2022 |
Riku Tanji |
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning |
|
27.07.2022 |
Tu Yuan |
Dynamic Difficulty Adjustment with Facial Recognition for Improving Player Satisfaction in a Survival Horror Game |
|
27.07.2022 |
George Mola Bogdan |
Spatial Movement Pattern Recognition in Soccer based on Relative Player Movements |
|
20.07.2022 |
Ippo Wakana |
Mastering Fighting Game Using Deep Reinforcement Learning With Self-play |
|
06.07.2022 |
Maxim Mozgovoy |
Where We Stand Now: Ongoing Lab Activities (Original) |
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06.07.2022 |
Ryo Ikarashi |
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI |
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22.06.2022 |
Makoto Saotome |
Smart Data Scouting in Professional Soccer: Evaluating Passing Performance based on Position Tracking Data |
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22.06.2022 |
Gai Nakazawa |
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation |
|
08.06.2022 |
Ryoma Usui |
Multi-Agent Game Abstraction via Graph Attention Neural Network |
|
01.06.2022 |
Maxim Mozgovoy |
Designing Programming Exercises From Board Games (Original) |
|
18.05.2022 |
Haruki Anbai |
Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning |
|
18.05.2022 |
Yuto Takiguchi |
SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos |
|
11.05.2022 |
Riku Tanji |
Believable agent in video games |
|
11.05.2022 |
Tu Yuan |
The Social Responsibility of Game AI |
|
27.04.2022 |
George Mola Bogdan |
Collective Movement Analysis Reveals Coordination Tactics of Team Players in Football Matches |
|
27.04.2022 |
Ippo Wakana |
A Study on Application of Curriculum Learning in Deep Reinforcement Learning |
|
20.04.2022 |
Ryoma Usui |
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments |
|
16.02.2022 |
Tu Yuan |
SimpAI: Evolutionary Heuristics for the ColorShapeLinks Board Game Competition |
|
26.01.2022 |
Haruki Anbai |
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities |
|
26.01.2022 |
Ryoma Usui |
Reusing Agent's Representations for Adaptation to Tuned-environment in Fighting Game |
|
19.01.2022 |
Risa Nishizawa |
Monte Carlo Tree Search Based Algorithms for Dynamic Difficulty Adjustment |
|
19.01.2022 |
Riku Tanji |
Mimicking Human Strategies in Fighting Games using a Data Driven Finite State Machine |
|
22.12.2021 |
Shota Goto |
How does AI play football? An analysis of RL and real-world football strategies |
|
22.12.2021 |
Ryoya Ito |
Companion AI for Starbound Game Using Utility Theory |
|
15.12.2021 |
Tu Yuan |
Creating Pro-Level AI for a Real-Time Fighting Game Using Deep Reinforcement Learning |
|
15.12.2021 |
Ippo Wakana |
Hierarchical Macro Strategy Model for MOBA Game AI |
|
08.12.2021 |
George Mola Bogdan |
Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer |
|
08.12.2021 |
Kaori Yuda |
Game AI Competitions: Motivation for the Imitation Game-Playing Competition |
|
01.12.2021 |
Maxim Mozgovoy |
Testable Modular Software with TDD, Simple Rules and Key Indicators (Original) |
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24.11.2021 |
Haruki Anbai |
Prediction and Classification of Fouls in Soccer Game using Deep Learning |
|
24.11.2021 |
Ryoma Usui |
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition |
|
17.11.2021 |
Risa Nishizawa |
A Hybrid Approach for the Fighting Game AI Challenge: Balancing Case Analysis and Monte Carlo Tree Search for the Ultimate Performance in Unknown Environment |
|
17.11.2021 |
Riku Tanji |
Imitation learning at all levels of Game-AI |
|
10.11.2021 |
Shota Goto |
"Not All Passes are Created Equal": Objectively Measuring the Risk and Reward of Passes in Soccer from Tracking Data |
|
10.11.2021 |
Ryoya Ito |
A Fighting Game AI Using Highlight Cues for Generation of Entertaining Gameplay |
|
27.10.2021 |
Kaori Yuda |
Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet? |
|
27.10.2021 |
Ippo Wakana |
Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors |
|
20.10.2021 |
Tu Yuan |
Guided Emotional State Regulation |
|
20.10.2021 |
George Mola Bogdan |
Similarity Analysis of Action Trajectories based on Kick Distributions |
|
13.10.2021 |
Victor Khaustov |
Google Research Football: Updates and Kaggle Competition (Original) |
|
13.10.2021 |
Maxim Mozgovoy |
A Family of Turn-Based Strategy Games with Moose |
|
06.10.2021 |
Haruki Anbai |
Exploring the Application of Soccer Mathematical Models to Game Generation on a Simulated environment |
|
06.10.2021 |
Ryoma Usui |
Application of Retrograde Analysis on Fighting Games |
|
04.08.2021 |
Risa Nishizawa |
Development of an Autonomous Agent based on Reinforcement Learning for a Digital Fighting Game |
|
04.08.2021 |
Yuto Takiguchi |
Position Prediction of Opponent Players by SIRMs Fuzzy Models for RoboCup Soccer 2D Simulation |
|
28.07.2021 |
Riku Tanji |
Monte-Carlo Tree Search Implementation of Fighting Game AIs Having Personas |
|
21.07.2021 |
Ryoya Ito |
Opponent Modeling based on Action Table for MCTS-based Fighting Game AI |
|
21.07.2021 |
Shota Goto |
Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP |
|
14.07.2021 |
Tu Yuan |
Recognizing Emotional Expression in Game Streams |
|
14.07.2021 |
Kaori Yuda |
The Believability Gene in Virtual Bots |
|
07.07.2021 |
George Mola Bogdan |
Individual Ball Possession in Soccer |
|
07.07.2021 |
Ippo Wakana |
Applying Hybrid Reward Architecture to a Fighting Game AI |
|
30.06.2021 |
Victor Khaustov |
Google Research Football: A Novel Reinforcement Learning Environment |
|
30.06.2021 |
Maxim Mozgovoy |
StarCraft Strategy Classification of a Large Human Versus Human Game Replay Dataset |