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.☆73Updated 4 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆15Updated 7 years ago
- Gym - 32 levels of original Super Mario Bros☆290Updated 6 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- DQN implementation in Keras + TensorFlow + OpenAI Gym☆159Updated 7 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆191Updated last year
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆31Updated 7 years ago
- Reinforcement Learning for Gym CarRacing-v0 game (Double Deep Q Network)☆19Updated 7 years ago
- ☆69Updated 6 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 7 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 7 years ago
- This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.☆30Updated 7 years ago
- Tensorflow DQN and DRQN agent playing doom☆35Updated 8 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 5 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Updated 7 years ago
- Using Asynchronous Deep Reinforcement Learning to play Flappy Bird from pixel input.☆30Updated 8 years ago
- Minimal implementations of reinforcement learning algorithms by Tensorflow☆29Updated 7 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Tensorflow implementation for "Noisy network for exploration"☆19Updated 8 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- C51-DDQN in Keras☆126Updated 8 years ago
- DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM☆87Updated 4 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 9 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆158Updated 8 years ago
- Deep Q-Network (DQN) to play classic Atari Games☆11Updated 8 years ago
- implement of prioritized experience replay☆159Updated 7 years ago