PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.

Implementation of Continuous Control RL Algorithms

Deep Reinforcement Learning repository

The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.

Rust coder/decoder for Nucleotide Archival Format (NAF) files.

The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022

Analysis of the implementation methods for single and double scalar (point) multiplication.

Reinforcement learning, robotics simulation with agent using NAF+HER learning method. Agent's task is to fetch puck to desired position using dynamic contact.

Visualization of parallel NAF and TRiG files.

some runscripts for usage on the NAF and other useful scripts

lightweight lxml wrapper for NAF

For empowerment of network attached fridges (NAF).

Map Stanford CoreNLP Annotation to NAF