pytorch-a3c-mujoco
by andrewliao11
Implement A3C for Mujoco gym envs
AI summary
Actor-Critic algorithm
An implementation of the Actor-Critic algorithm for continuous control tasks in MuJoCo environments using PyTorch.
- stars
- 73
- forks
- 19
- watching
- 6
Similar projects
Found by comparing what the projects do, not just their names.
A3C algorithm
An implementation of Asynchronous Advantage Actor-Critic in PyTorch for training AI models on reinforcement learning tasks
A3C algorithm implementation
An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning
A3C algorithm
An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training.
Reinforcement learning framework
A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments.
Image captioning library
An implementation of Self-critical Sequence Training for Image Captioning and related techniques.
Optimization algorithm
A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks
RL frameworks
An open-source implementation of several reinforcement learning algorithms in PyTorch
Neural network optimizer
An implementation of an optimization algorithm for training neural networks in machine learning environments.
Batch normalization alternative
An implementation of Filter Response Normalization Layer in PyTorch to improve the training of deep neural networks by eliminating batch dependence.
DPPO algorithm
A PyTorch implementation of Distributed Proximal Policy Optimization algorithm
Attribution tool
A PyTorch implementation of attributing the impact of inputs on deep neural network outputs
Autoencoder
An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data.
Agent building guide
Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym
Optimization algorithm
An implementation of an optimization algorithm inspired by a 2016 research paper
E2C controller
An implementation of the E2C control policy in PyTorch, allowing customization and comparison with different neural network architectures.
