HamidMoghaddam / dota2dqn
This is a deep Q-network (reinforcement learning) AI for Dota 2
☆56Updated 8 years ago
Alternatives and similar repositories for dota2dqn:
Users that are interested in dota2dqn are comparing it to the libraries listed below
- Dota 2 Python AI☆99Updated 6 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- ☆14Updated 6 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 6 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆158Updated 7 years ago
- Using Asynchronous Deep Reinforcement Learning to play Flappy Bird from pixel input.☆30Updated 7 years ago
- Dota 2 Addon for Creep Block Episodic Reinforcement Learning☆37Updated 7 years ago
- Implementing reinforcement-learning algorithms for pysc2 -environment☆89Updated 7 years ago
- ☆53Updated 8 years ago
- Implementations of deep RL papers and random experimentation☆177Updated 6 years ago
- This is the code for "OpenAI Five vs DOTA 2 Explained" By Siraj Raval on Youtube☆161Updated 6 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras☆39Updated 7 years ago
- PySC2 OpenAI Gym Environments☆48Updated 6 years ago
- Convert sc2 environment to gym-atari and play some mini-games☆21Updated 7 years ago
- Keras implementation of DQN on ViZDoom environment☆53Updated 8 years ago
- RainBow, Tensorflow☆49Updated 6 years ago
- ☆79Updated 6 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- ☆117Updated 4 years ago
- Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'☆162Updated 7 years ago
- This is a simple implementation of DeepMind's PySC2 RL agents.☆272Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆67Updated 8 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- ☆56Updated 2 years ago
- A PyTorch implementation of Rainbow DQN agent☆169Updated 6 years ago