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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
Vision Language Models are Biased
4Hammer: a board-game reinforcement learning environment for the hour long time frame
Playing Non-Embedded Card-Based Games with Reinforcement Learning
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?
Reinforcement Learning and Life Cycle Assessment for a Circular Economy -- Towards Progressive Computer Science
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
MASTER: A Multi-Agent System with LLM Specialized MCTS
Python Agent in Ludii
AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws
Mastering Board Games by External and Internal Planning with Language Models
Anytime Sequential Halving in Monte-Carlo Tree Search
Interpreting the Learned Model in MuZero Planning
ResTNet: Defense against Adversarial Policies via Transformer in Computer Go
AlphaViT: A Flexible Game-Playing AI for Multiple Games and Variable Board Sizes
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
People use fast, goal-directed simulation to reason about novel games
GAVEL: Generating Games Via Evolution and Language Models
RobocupGym: A challenging continuous control benchmark in Robocup
Games of Knightian Uncertainty as AGI testbeds
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop
Learning to Play 7 Wonders Duel Without Human Supervision
Extreme Value Monte Carlo Tree Search
Deep Reinforcement Learning for 5*5 Multiplayer Go
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze
Playing Board Games with the Predict Results of Beam Search Algorithm
Monte Carlo Tree Search with Boltzmann Exploration
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
Active Reinforcement Learning for Robust Building Control
ArchiGuesser -- AI Art Architecture Educational Game
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
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