JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. | 0 | 0.34 | 2022 |
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings | 0 | 0.34 | 2022 |
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. | 0 | 0.34 | 2022 |
Greedy when Sure and Conservative when Uncertain about the Opponents. | 0 | 0.34 | 2022 |
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game | 0 | 0.34 | 2022 |
Learning Diverse Policies in MOBA Games via Macro-Goals. | 0 | 0.34 | 2021 |
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. | 0 | 0.34 | 2021 |
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search | 0 | 0.34 | 2021 |
MapGo - Model-Assisted Policy Optimization for Goal-Oriented Tasks. | 0 | 0.34 | 2021 |
Boosting Offline Reinforcement Learning with Residual Generative Modeling. | 0 | 0.34 | 2021 |
Mastering Complex Control In Moba Games With Deep Reinforcement Learning | 0 | 0.34 | 2020 |
Towards Playing Full MOBA Games with Deep Reinforcement Learning | 0 | 0.34 | 2020 |
Hierarchical Macro Strategy Model for MOBA Game AI | 1 | 0.36 | 2018 |