[DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation
☆52Feb 4, 2020Updated 6 years ago
Alternatives and similar repositories for baselines-A2C
Users that are interested in baselines-A2C are comparing it to the libraries listed below
Sorting:
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆100Feb 1, 2020Updated 6 years ago
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Aug 7, 2019Updated 6 years ago
- Multiplayer Game in Unity3D☆11Dec 13, 2020Updated 5 years ago
- Reinforcement learning - Batched Impala - PyTorch - Mario Kart☆13Jul 21, 2020Updated 5 years ago
- A blockchain based land registry application.☆18Jan 5, 2023Updated 3 years ago
- Gold Loss Correction for training neural networks with labels corrupted with severe noise☆13Aug 17, 2019Updated 6 years ago
- Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.☆16May 12, 2017Updated 8 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Dec 20, 2017Updated 8 years ago
- Simple change of a3c to a2c☆15Jun 18, 2017Updated 8 years ago
- This is an implimentation of Value Iteration Networks (NIPS2016 best paper) in keras☆17Jan 6, 2018Updated 8 years ago
- ManifoldMixup with support for Interpolated Adversarial training☆17Mar 10, 2020Updated 5 years ago
- ☆17Jun 28, 2018Updated 7 years ago
- Trains an agent with (stochastic) Policy Gradients(actor-critic) on Pong. Uses OpenAI Gym.☆17Jan 10, 2025Updated last year
- PyTorch implementation of "Asynchronous advantage actor-critic"☆19Oct 30, 2025Updated 4 months ago
- My website☆18Nov 29, 2024Updated last year
- Manifold-Mixup implementation for fastai V1☆19Oct 1, 2020Updated 5 years ago
- my udacity projects☆22Jan 22, 2017Updated 9 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Feb 10, 2019Updated 7 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Dec 15, 2022Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,316Sep 25, 2019Updated 6 years ago
- Multi-Target Embodied Question Answering☆26Jul 17, 2020Updated 5 years ago
- This repository contains code for my only numpy basic.☆25Aug 24, 2024Updated last year
- Slides and code from our TensorFlow workshop.☆24Jun 26, 2017Updated 8 years ago
- Training Deep AutoEncoders for Collaborative Filtering☆22Sep 9, 2019Updated 6 years ago
- Implementation of A Distributional Perspective on Reinforcement Learning☆35Aug 1, 2017Updated 8 years ago
- ☆26Feb 15, 2023Updated 3 years ago
- ☆119Jul 9, 2020Updated 5 years ago
- A website to find online courses☆30Nov 6, 2019Updated 6 years ago
- CNN for sentence classification using Pytorch and MXNET☆31Dec 20, 2017Updated 8 years ago
- Modular PyTorch implementation of policy gradient methods☆25Nov 15, 2018Updated 7 years ago
- ☆32Aug 1, 2018Updated 7 years ago
- A PyTorch Library for Reinforcement Learning Research☆198Jun 22, 2025Updated 8 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,876May 29, 2022Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,272Feb 9, 2021Updated 5 years ago
- PCL grabber for DepthSense devices☆11Sep 26, 2015Updated 10 years ago
- C++ Hough Forests with OpenCV☆11Jul 28, 2016Updated 9 years ago
- Calibrated Alicante-Murcia Freeway SUMO Scenario☆11Nov 28, 2019Updated 6 years ago
- Stripped Python images based on alpine variant of library's Python☆10Jan 20, 2022Updated 4 years ago
- SciFin is a python package for Science & Finance.☆11Oct 25, 2020Updated 5 years ago