lopespm / agent-trainerLinks
Using tensorflow, this agent can autonomously train itself to play Out Run and potentially be modified to play other games or perform tasks other than gaming
☆69Updated 8 years ago
Alternatives and similar repositories for agent-trainer
Users that are interested in agent-trainer are comparing it to the libraries listed below
Sorting:
- Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …☆84Updated 9 years ago
- Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning☆42Updated 7 years ago
- ☆56Updated 2 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆91Updated 8 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆67Updated 8 years ago
- Unfinished. Deep Q Learning in Tensorflow for ATARI.☆84Updated 9 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆42Updated 7 years ago
- Atari gauntlet for RL agents☆29Updated 8 years ago
- Deepmind Recurrent Environment Simulators paper implementation in tensorflow☆74Updated 7 years ago
- ☆117Updated 4 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 7 years ago
- Direct Future Prediction (DFP ) in Keras☆109Updated 7 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆52Updated 7 years ago
- Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Thea…☆44Updated 7 years ago
- Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"☆114Updated 9 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 9 months ago
- tensorflow deep RL for driving a rover around☆64Updated 8 years ago
- Reinforcement learning models in ViZDoom environment☆131Updated 3 years ago
- ☆53Updated 8 years ago
- Universal library for deep reinforcement learning.☆38Updated 9 years ago
- Train an RL agent to play multiple Atari games at once