nailo2c / a3cLinks
PyTorch implementation of "Asynchronous advantage actor-critic"
☆19Updated 6 years ago
Alternatives and similar repositories for a3c
Users that are interested in a3c are comparing it to the libraries listed below
Sorting:
- ☆117Updated 5 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 7 years ago
- ☆56Updated 2 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 9 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 8 years ago
- Deep reinforcement learning in ViZDoom (using Tensorflow)☆19Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- ☆46Updated 7 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- ☆53Updated 8 years ago
- Tensorflow implementation of A3C algorithm☆46Updated 8 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- Reinforcement learning benchmarking.☆40Updated 6 years ago
- Keras implementation of DQN on ViZDoom environment☆54Updated 8 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆42Updated 7 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆91Updated 8 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- ☆35Updated 7 years ago
- Hybrid Reward Architecture☆78Updated 7 years ago