Challenging Memory-based Deep Reinforcement Learning Agents
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Updated
Oct 27, 2024 - Python
Challenging Memory-based Deep Reinforcement Learning Agents
Open-source Guandan rules engine and heuristic AI starter kit for imperfect-information game research.
Counterfactual Regret Minimization (CFR) game theory solver computing Nash equilibrium strategies for extensive-form games and poker scenarios.
Counterfactual Regret Minimization (CFR) game theory solver computing Nash equilibrium strategies for extensive-form games and poker scenarios.
Counterfactual regret minimization of two-player zero-sum incomplete-information games in rust
Paper and ecosystem hub for residual key-structure modeling across GuanDan, DouDizhu, and Gin Rummy.
An open-source fog-of-war (dark) chess engine: exact belief enumeration + GT-CFR search
CPU-only Dou Dizhu bot for QOJ: sampled search, cooperative play, offline evaluation and ranked-match client.
Calibrated sequential win probability from imperfect-information game replays. HistGradientBoosting, isotonic recalibration, and a local-level state-space filter, with results reported across repeated splits.
A Manille bot: Deep Monte Carlo blueprint + SPARTA search, with a browser GUI. Beats ISMCTS-5000 by +2.97 pts/deal.
Biblioteca para Python con algoritmos de resolución de juegos de mesa (minimax, MCTS, SO-ISMCTS y MO-ISMCTS)
影将棋 / Shadow Shogi — 王将を秘密に隠して指す不完全情報の対戦将棋。Next.js + Supabase
🇺🇾 Uruguayan Truco game engine + library written entirely in Python
Pesquisa experimental de IA para Truco Paulista 1v1: motor, agentes e avaliação simulada; sem evidência de desempenho contra humanos.
n-card Kuhn poker solved with from-scratch CFR, graded by exact best-response exploitability, and independently verified against OpenSpiel
Fast C++ Sequence game engine with ISMCTS search and Python bindings
Browser Doppelkopf, canonical engine contracts, and the V3 agent design for Täglich Doko.
NashForge:不完美信息博弈精确均衡求解(序列式 LP oracle + CFR/CFR+ + 四条交付门禁)。作者:晨星
High-performance imperfect-information game solving: CFR/MCCFR with a 38x C++17 backend, exact-game validation, and uncertainty-aware decision support.
Duren card game for the web — four bot levels, from plain reactive play to card counting and an opponent that models your hand and bluffs, plus anonymous online rooms shared by a code. One Node process, no database, no accounts.
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