Deep-Reinforcement-Learning-Algorithms-with-PyTorch
RL frameworks
PyTorch implementations of popular deep reinforcement learning algorithms and environments.
PyTorch implementations of deep reinforcement learning algorithms and environments
6k stars
106 watching
1k forks
Language: Python
last commit: 7 months ago Related projects:
Repository | Description | Stars |
---|---|---|
| A modularized implementation of various deep reinforcement learning algorithms in PyTorch | 3,209 |
| A tutorial on implementing and extending the Deep Q Network algorithm for reinforcement learning tasks | 3,043 |
| A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 8,069 |
| An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,644 |
| An implementation of a deep reinforcement learning network using PyTorch to learn human-level control through trial and error. | 387 |
| A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,401 |
| A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 798 |
| A comprehensive library for building deep reinforcement learning agents using PyTorch | 647 |
| An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
| A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. | 22,530 |
| A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
| An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch | 4,256 |
| A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 435 |
| Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
| An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |