:: Library Catalog

Saved in:

Bibliographic Details
Main Author:	Pastukhov, Sergey
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2404.16072
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks
by: Pastukhov, Sergey
Published: (2025)

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
by: Jin, Yonggang, et al.
Published: (2024)

Learning Game-Playing Agents with Generative Code Optimization
by: Kuang, Zhiyi, et al.
Published: (2025)

Bridging Local and Global Knowledge via Transformer in Board Games
by: Ju, Yan-Ru, et al.
Published: (2024)

A Novel Approach to Solving Goal-Achieving Problems for Board Games
by: Shih, Chung-Chin, et al.
Published: (2021)

Learning to play: A Multimodal Agent for 3D Game-Play
by: Yue, Yuguang, et al.
Published: (2025)

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
by: Heins, Conor, et al.
Published: (2025)

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
by: Wang, Weiyan, et al.
Published: (2025)

Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm
by: Tang, Xirui, et al.
Published: (2024)

Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity
by: Salehin, Md Ashfaq
Published: (2024)

Mastering Board Games by External and Internal Planning with Language Models
by: Schultz, John, et al.
Published: (2024)

Enhancing Reinforcement Learning for the Floorplanning of Analog ICs with Beam Search
by: Della Rovere, Sandro Junior, et al.
Published: (2025)

Beam Prediction based on Large Language Models
by: Sheng, Yucheng, et al.
Published: (2024)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

Neural Beam Field for Spatial Beam RSRP Prediction
by: Guo, Keqiang, et al.
Published: (2025)

Affective and Dynamic Beam Search for Story Generation
by: Huang, Tenghao, et al.
Published: (2023)

Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
by: Sokota, Samuel, et al.
Published: (2025)

Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
by: Alzorgan, Hazim, et al.
Published: (2025)

CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform
by: Talwadker, Rukma, et al.
Published: (2025)

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
by: Karvonen, Adam, et al.
Published: (2024)

TextAtari: 100K Frames Game Playing with Language Agents
by: Li, Wenhao, et al.
Published: (2025)

PredictaBoard: Benchmarking LLM Score Predictability
by: Pacchiardi, Lorenzo, et al.
Published: (2025)

ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search
by: Collura, Vincenzo, et al.
Published: (2025)

More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
by: Dalal, Gal, et al.
Published: (2026)

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
by: Chen, Jiaqi, et al.
Published: (2025)

Learning to Play Video Games with Intuitive Physics Priors
by: Jaiswal, Abhishek, et al.
Published: (2024)

Best Agent Identification for General Game Playing
by: Stephenson, Matthew, et al.
Published: (2025)

VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
by: Xu, Zelai, et al.
Published: (2025)

Playing DOOM with 1.3M Parameters: Specialized Small Models vs Large Language Models for Real-Time Game Control
by: Golchinfar, David, et al.
Published: (2026)

Offline Fictitious Self-Play for Competitive Games
by: Chen, Jingxiao, et al.
Published: (2024)

Prediction-Intervention Games and Invariant Sets
by: Kühne, Linus, et al.
Published: (2026)

Improving GFlowNets with Monte Carlo Tree Search
by: Morozov, Nikita, et al.
Published: (2024)

Play Style Identification Using Low-Level Representations of Play Traces in MicroRTS
by: Xia, Ruizhe Yu, et al.
Published: (2025)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
by: Yang, Weiqin, et al.
Published: (2026)

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
by: Tsai, Chen Feng, et al.
Published: (2023)

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
by: Tan, Zhewen, et al.
Published: (2026)

Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
by: Khan, Nasir, et al.
Published: (2025)

Back to the Drawing Board for Fair Representation Learning
by: Pouget, Angéline, et al.
Published: (2024)

Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games
by: Lanier, JB, et al.
Published: (2026)

Aggregating Concepts of Fairness and Accuracy in Prediction Algorithms
by: Kinney, David
Published: (2025)