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Starcraft II

Starcraft II is a RTS game; the task is to train an agent to play the game.

( Image credit: The StarCraft Multi-Agent Challenge )

Papers

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Showing 76–100 of 175 papers

TitleStatusHype
CURO: Curriculum Learning for Relative Overgeneralization—0
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning—0
Deep Convolution for Irregularly Sampled Temporal Point Clouds—0
Deep reinforcement learning with relational inductive biases—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients—0
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence—0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games—0
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning—0
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism—0
Heterogeneous Learning from Demonstration—0
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection—0
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors—0
Incorporating Pragmatic Reasoning Communication into Emergent Language—0
Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation—0
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning—0
Learning a Behavioral Repertoire from Demonstrations—0
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning—0
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II—0
Learning to Transfer Role Assignment Across Team Sizes—0
Leveraging Transformers for StarCraft Macromanagement Prediction—0
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