cosmoharrigan / neuroevolution
Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
☆70Updated 4 years ago
Alternatives and similar repositories for neuroevolution:
Users that are interested in neuroevolution are comparing it to the libraries listed below
- Differentiable Neural Computer implementation in Tensorflow☆35Updated 8 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- ☆28Updated 6 years ago
- Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning☆42Updated 6 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- Replication of Uber Neuroevolution paper☆46Updated 7 years ago
- This is the implementation of paper Model Free Episodic Control☆35Updated 5 years ago
- Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications☆61Updated 7 years ago
- EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM☆59Updated last month
- Evolutionary Neural Networks backed by TensorFlow and pure Python☆108Updated 8 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Updated 8 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Differentiable neural computers☆27Updated 8 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- Highly Modular and Scalable Reinforcement Learning☆114Updated 5 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- ☆22Updated 6 years ago
- ☆43Updated 5 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆23Updated 7 years ago
- ☆30Updated 8 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆42Updated 7 years ago
- 3d cartpole gym env using bullet physics trained from pixels with tensorflow LRPG, DDPG & NAF☆58Updated 8 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆67Updated 8 years ago
- 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
- Reinforcement learning with a convolutional neural network.☆35Updated 10 years ago
- Deepmind Recurrent Environment Simulators paper implementation in tensorflow☆74Updated 7 years ago