robmsylvester / Super-Mario-Bros-DQNLinks
A Deep Q Network used for running experiments on reinforcement learning agents targeted at learning Super Mario Bros (NES)
☆10Updated 8 years ago
Alternatives and similar repositories for Super-Mario-Bros-DQN
Users that are interested in Super-Mario-Bros-DQN are comparing it to the libraries listed below
Sorting:
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆74Updated 4 years ago
- Reinforcement Learning for Gym CarRacing-v0 game (Double Deep Q Network)☆19Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Updated 7 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆14Updated 7 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 8 years ago
- Implementation of Double Deep Q Networks and Dueling Q Networks using Keras on Space Invaders using OpenAI Gym. Code can be easily genera…☆37Updated 7 years ago
- This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.☆30Updated 7 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- ☆69Updated 7 years ago
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 7 years ago
- dqn autoplay mario bros☆21Updated 8 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆48Updated 8 years ago
- Gym - 32 levels of original Super Mario Bros☆291Updated 7 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆79Updated 8 years ago
- Pytorch implementation of Human-Level Control through Deep Reinforcement Learning☆11Updated 8 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- Tensorflow DQN and DRQN agent playing doom☆35Updated 8 years ago
- Tensorflow implementation for "Noisy network for exploration"☆19Updated 8 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 2 months ago
- Fictitious Self-play & Reinforcement Learning☆18Updated 8 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Minimal implementations of reinforcement learning algorithms by Tensorflow☆30Updated 8 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 7 years ago
- This is the code for "OpenAI Five vs DOTA 2 Explained" By Siraj Raval on Youtube☆169Updated 7 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆158Updated 8 years ago
- An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.☆29Updated 8 years ago
- RainBow, Tensorflow☆49Updated 7 years ago
- Using Asynchronous Deep Reinforcement Learning to play Flappy Bird from pixel input.☆30Updated 8 years ago