Kautenja / playing-mario-with-deep-reinforcement-learning
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
☆71Updated 4 years ago
Alternatives and similar repositories for playing-mario-with-deep-reinforcement-learning:
Users that are interested in playing-mario-with-deep-reinforcement-learning are comparing it to the libraries listed below
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆182Updated 6 months ago
- PPO implementation for OpenAI gym environment based on Unity ML Agents☆149Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- ☆303Updated 2 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated 2 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- Implementing reinforcement-learning algorithms for pysc2 -environment☆89Updated 7 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆86Updated last year
- ☆92Updated 4 years ago
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆37Updated 7 years ago
- ☆69Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆113Updated 7 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆124Updated 9 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago
- StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)☆135Updated 6 years ago
- DQN implementation in Keras + TensorFlow + OpenAI Gym☆158Updated 7 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆176Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- implement of prioritized experience replay☆159Updated 6 years ago