ykteh93 / Deep_Reinforcement_Learning-AtariLinks
Deep Q-Network (DQN) to play classic Atari Games
☆11Updated 7 years ago
Alternatives and similar repositories for Deep_Reinforcement_Learning-Atari
Users that are interested in Deep_Reinforcement_Learning-Atari are comparing it to the libraries listed below
Sorting:
- A PyTorch Implementation for Deep Q Network☆7Updated 6 years ago
- Minimal implementations of reinforcement learning algorithms by Tensorflow☆29Updated 7 years ago
- This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a …☆10Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Updated 7 years ago
- Tiny implementation of Deep-Q Network with Tensorflow☆11Updated 7 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆78Updated 8 years ago
- Deep Q-Networks in tensorflow☆10Updated 8 years ago
- Deep Reinforcement Learning for Flappy Bird, including DQN, DRQN, A3C as benchmarks☆6Updated 4 years ago
- Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…☆12Updated 5 years ago
- Pytorch implementation of Human-Level Control through Deep Reinforcement Learning☆11Updated 8 years ago
- A DQN implementation using Keras and Tensorflow☆12Updated 6 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆15Updated 7 years ago
- ReforcementLearning in Action☆15Updated 7 years ago
- Code for "Deep Reinforcement Learning-Based Vehicle Energy Efficiency Autonomous Learning System"☆7Updated 5 years ago
- This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.☆30Updated 7 years ago
- Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.☆7Updated 6 years ago
- Asynchronous implementation of DQN algorithm in PyTorch☆8Updated 5 years ago
- Codes for understanding Reinforcement Learning( updating... )☆25Updated 6 years ago
- Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | O…☆7Updated 8 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
- Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.☆26Updated 5 years ago
- Tensorflow implementation for "Noisy network for exploration"☆19Updated 7 years ago
- Deep Learning Project☆8Updated 6 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 6 years ago
- 🕹️ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning☆18Updated 3 years ago
- Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA☆18Updated 7 years ago
- Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, …☆37Updated 7 years ago
- ☆15Updated 4 years ago
- A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.☆37Updated 5 years ago