Alternatives and similar repositories for Machine-Learning-Blokus

Users that are interested in Machine-Learning-Blokus are comparing it to the libraries listed below

• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 7 years ago
• Kojoley / atari-py
  An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.
  ☆183Updated 4 years ago
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆74Updated 4 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆626Updated 8 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 6 years ago
• Nasdin / ReinforcementLearning-AtariGame
  Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…
  ☆195Updated last year
• mrahtz / tensorflow-rl-pong
  Pong AI trained using policy gradient-based reinforcement learning
  ☆52Updated 2 years ago
• jaimeyzzz / impala_horovod_gym
  ☆10Updated 7 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆292Updated 7 years ago
• YuriyGuts / snake-ai-reinforcement
  AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).
  ☆171Updated 6 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆570Updated 2 years ago
• SuReLI / Deep-RL-agents
  ☆25Updated 6 years ago
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆261Updated 3 years ago
• int8 / counterfactual-regret-minimization
  Counterfactual regret minimization algorithm for Kuhn poker
  ☆181Updated 6 years ago
• alirezamika / evostra
  A fast Evolution Strategy implementation in Python
  ☆272Updated 5 years ago
• AndersonJo / dqn-pytorch
  Deep Q Learning via Pytorch
  ☆86Updated 8 years ago
• dsrahul30 / IWD
  Intelligent Water Drops Algorithm for TSP.
  ☆10Updated 5 years ago
• tansey / pycfr
  A python implementation of Counterfactual Regret Minimization for poker
  ☆292Updated 11 years ago
• wenkesj / holdem
  OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
  ☆166Updated 6 years ago
• gsurma / cartpole
  OpenAI's cartpole env solver.
  ☆155Updated 2 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 5 years ago
• j8lp / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆40Updated 6 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆388Updated 2 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆779Updated 2 years ago
• mimoralea / applied-reinforcement-learning
  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
  ☆331Updated 5 years ago
• wert23239 / Super-Meta-MarIO
  Mario AI Ensemble
  ☆16Updated 7 years ago
• slowbull / DDPG
  Tensorflow implementation of Deep Deterministic Policy Gradients
  ☆19Updated 8 years ago
• simonmeister / pysc2-rl-agents
  StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
  ☆138Updated 7 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆827Updated 2 years ago
• int8 / monte-carlo-tree-search
  Monte carlo tree search in python
  ☆625Updated 3 years ago