nanxintin / deep-reinforcement-learningLinks
Reinforcement Learning and Deep Learning Resources
☆16Updated 7 years ago
Alternatives and similar repositories for deep-reinforcement-learning
Users that are interested in deep-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- hierarchical deep reinforcement learning algorithms☆42Updated 8 years ago
- ICRL 2020☆19Updated 5 years ago
- ☆35Updated 7 years ago
- ☆17Updated 8 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch implementation of CommNet☆36Updated 8 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 9 years ago
- Exploring the use of options in creating small worlds for faster learning in RL Domains☆16Updated 13 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Tensorflow Implementation for "Noisy network for exploration"☆32Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 7 years ago
- ☆69Updated 7 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 9 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- FEN Code☆40Updated 6 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 7 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆15Updated 5 years ago