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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Innovative activities of Activision Blizzard: A patent network analysis
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness
Objects matter: object-centric world models improve reinforcement learning in visually complex environments
Divergence-Augmented Policy Optimization
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
Group-Agent Reinforcement Learning with Heterogeneous Agents
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
Three-dimensional attention Transformer for state evaluation in real-time strategy games
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
A quantum-classical reinforcement learning model to play Atari games
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
From Code to Play: Benchmarking Program Search for Games Using Large Language Models
Conformal Symplectic Optimization for Stable Reinforcement Learning
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks
LLM-PySC2: Starcraft II learning environment for Large Language Models
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning
Interpreting the Learned Model in MuZero Planning
Prosody as a Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications
Enhancing Chess Reinforcement Learning with Graph Representation
CALE: Continuous Arcade Learning Environment
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Streaming Deep Reinforcement Learning Finally Works
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
Carefully Structured Compression: Efficiently Managing StarCraft II Data
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards
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