wenkesj / mario
Super Mario Reinforcement Learning from Demonstration
☆25Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for mario
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆69Updated 3 years ago
- This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube☆74Updated 6 years ago
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆36Updated 6 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆77Updated 5 years ago
- Reinforcement Learning in Keras on VizDoom☆146Updated 7 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆159Updated 4 years ago
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym☆40Updated 6 years ago
- implement the classic reinforcement learning algorithm DQN to play supermariobrother☆15Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated last year
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆32Updated 8 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆74Updated 7 years ago
- RainBow, Tensorflow☆49Updated 6 years ago
- C51-DDQN in Keras☆125Updated 7 years ago
- Deep Q Learning via Pytorch☆86Updated 6 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆65Updated 7 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 6 years ago
- Minimal implementations of reinforcement learning algorithms by Tensorflow☆29Updated 6 years ago
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆28Updated 6 years ago
- A Deep Q Network used for running experiments on reinforcement learning agents targeted at learning Super Mario Bros (NES)☆10Updated 7 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆110Updated 6 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆47Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 6 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆160Updated 7 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆101Updated 4 years ago
- Tensorflow implementation of Deep Deterministic Policy Gradients☆20Updated 7 years ago
- DQN implementation in Keras + TensorFlow + OpenAI Gym☆158Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆46Updated 3 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆131Updated 5 years ago