Zeta36 / Asynchronous-Methods-for-Deep-Reinforcement-LearningLinks
Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.
☆84Updated 9 years ago
Alternatives and similar repositories for Asynchronous-Methods-for-Deep-Reinforcement-Learning
Users that are interested in Asynchronous-Methods-for-Deep-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆67Updated 8 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- Keras implementation of DQN on ViZDoom environment☆54Updated 8 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆120Updated 8 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- Unfinished. Deep Q Learning in Tensorflow for ATARI.☆84Updated 9 years ago
- Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'☆164Updated 8 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 9 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆91Updated 8 years ago
- Implementations of deep RL papers and random experimentation☆177Updated 7 years ago
- Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning☆42Updated 7 years ago
- Universal library for deep reinforcement learning.☆38Updated 9 years ago
- ☆101Updated 8 years ago
- Basic DQN implementation☆226Updated 7 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 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
- Train an RL agent to play multiple Atari games at once☆69Updated 9 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- Reinforcement learning environments for Torch7☆91Updated 8 years ago
- Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc☆43Updated 8 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆192Updated 6 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- ☆96Updated 8 years ago
- Framework and model code for the paper "Language Understanding for Text-based Games using Deep Reinforcement Learning", EMNLP 2015☆127Updated 9 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago