cgel / DRL
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
☆29Updated 7 years ago
Alternatives and similar repositories for DRL:
Users that are interested in DRL are comparing it to the libraries listed below
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 8 years ago
- ☆57Updated 2 years ago
- 3d cartpole gym env using bullet physics trained from pixels with tensorflow LRPG, DDPG & NAF☆58Updated 8 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 7 years ago
- Keras implementation of DQN on ViZDoom environment☆53Updated 8 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆120Updated 8 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆30Updated 7 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Updated 6 years ago
- Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Thea…☆44Updated 6 years ago
- Tensorflow implementation of A3C algorithm☆47Updated 7 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
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- Reinforcement learning in 3D.☆21Updated 7 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- Noisy Networks for Exploration☆185Updated 7 years ago
- A reinforcement learning framework☆154Updated 6 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆52Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 7 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆23Updated 8 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 7 years ago
- An implementation of Deep Q-Network using Caffe☆69Updated 9 years ago
- Tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆13Updated 8 years ago
- ☆43Updated 5 years ago