devsisters / neural-combinatorial-rl-tensorflow
in progress
☆107Updated 7 years ago
Related projects: ⓘ
- Pointer Networks☆100Updated 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 …☆83Updated 8 years ago
- TensorFlow implementation of Pointer Networks☆203Updated 7 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆121Updated 7 years ago
- Deep Attention Recurrent Q-Network☆114Updated 8 years ago
- Implementations of deep RL papers and random experimentation☆177Updated 6 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆193Updated 6 years ago
- Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc☆41Updated 7 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 7 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 7 years ago
- Basic DQN implementation☆219Updated 6 years ago
- TensorFlow implementation of "Pointer Networks"☆469Updated 7 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆91Updated 7 years ago
- Keras implementation of DQN on ViZDoom environment☆53Updated 7 years ago
- ☆130Updated this week
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆68Updated 7 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 7 years ago
- Framework and model code for the paper "Language Understanding for Text-based Games using Deep Reinforcement Learning", EMNLP 2015☆127Updated 8 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆70Updated 7 years ago
- reinforcement learning. policy gradient. PCL☆38Updated 7 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 6 years ago
- Combining deep learning and reinforcement learning.☆81Updated 2 years ago
- ☆99Updated 8 years ago
- ☆117Updated this week
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 6 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆209Updated 6 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 6 years ago
- Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'☆162Updated 7 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆53Updated 6 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆23Updated 7 years ago