pytorch-trpo
by ikostrikov
PyTorch implementation of Trust Region Policy Optimization
AI summary
Optimization algorithm
A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks
- stars
- 435
- forks
- 91
- watching
- 12
Similar projects
Found by comparing what the projects do, not just their names.
Meta learner
A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks.
RL algorithm
An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks.
Optimization algorithm
An implementation of an optimization algorithm inspired by a 2016 research paper
DPPO algorithm
A PyTorch implementation of Distributed Proximal Policy Optimization algorithm
Density estimator library
PyTorch implementations of algorithms for density estimation using invertible transformations.
Optimization algorithm
An optimizer that automatically tunes momentum and learning rate using local quadratic approximation.
A3C algorithm
An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training.
NCO RL PyTorch
An implementation of Neural Combinatorial Optimization with Reinforcement Learning using PyTorch.
Memory optimizer for deep learning models
A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
Optimization layer
A PyTorch module that adds differentiable optimization as a layer to neural networks
Reinforcement Learning framework
Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks
Optimization library
An efficient library for differentiable optimization built on top of PyTorch.
Reinforcement learning framework
A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments.
Differentiable optimizer
A PyTorch module that wraps the OSQP solver for differentiable optimization problems
