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
- 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
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 7 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Updated 2 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
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 5 years ago
- ☆77Updated 7 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Double Deep Q-Learning with Prioritized Experience Replay☆35Updated 7 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- Tensorflow Implementation for "Noisy network for exploration"☆32Updated 8 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆87Updated 8 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 3 months ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆223Updated 2 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 3 years ago
- Reinforcement Learning in Keras on VizDoom☆142Updated 8 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 6 years ago