fqf

Here are 4 public repositories matching this topic...

deligentfool / dqn_zoo

The implement of all kinds of dqn reinforcement learning with Pytorch

pytorch dqn ddqn dueling-dqn iqn categorical-dqn soft-q-learning rainbow-dqn qr-dqn prioritized-dqn noisy-dqn n-step-dqn fqf distributional-dqn mmddqn

Updated Mar 25, 2021
Python

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.

reinforcement-learning multiprocessing pytorch multi-environment reinforcement-learning-algorithms parallel-processing dueling-network-architecture prioritized-experience-replay quantile-functions dqn-pytorch distributional-rl noisy-layer fqf nstep-bootstrapping

Updated Oct 10, 2020
Jupyter Notebook

xlnwel / grl

Star

General-Purpose Reinforcement Learning

reinforcement-learning seed deep-reinforcement-learning rainbow reactor rnd sac ppg r2d2 iqn ppo gail dreamer daac airl qmix fqf mappo

Updated Oct 31, 2021
Python

alirezakazemipour / Distributional-RL

Star

Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

c51 iqn quantile-regression-dqn implicit-quantile-networks distributional-rl fqf qrdqn

Updated Mar 13, 2022
Python

Improve this page

Add a description, image, and links to the fqf topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the fqf topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

fqf