ShanHaoYu / Deep-Q-Network-BreakoutLinks
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
☆30Updated 7 years ago
Alternatives and similar repositories for Deep-Q-Network-Breakout
Users that are interested in Deep-Q-Network-Breakout are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout☆97Updated 7 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆48Updated 8 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆14Updated 7 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 3 years ago
- Tensorflow Implementation for "Noisy network for exploration"☆31Updated 8 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
- Actor-critic with experience replay☆256Updated 3 years ago
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 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…☆193Updated last year
- 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
- Tensorflow implementation of Deepminds dqn with double dueling networks☆217Updated 5 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- ☆77Updated 8 years ago
- DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM☆90Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 8 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆148Updated 6 years ago
- Meta Reinforcement Learning Experiments☆35Updated 8 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- ☆69Updated 7 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago