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This repo mainly contains CS234 assignment's coding problems
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Minimal and Clean Reinforcement Learning Examples
A course in reinforcement learning in the wild
some45bucks / IsaacLab-HARL
Forked from isaac-sim/IsaacLabUnified framework for robot learning built on NVIDIA Isaac Sim
Course projects for the Sensor Fusion Nanodegree program on Udacity.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of SAC-Discrete.
Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)
Implementation of Block Recurrent Transformer - Pytorch
Code to related to my NIPS 2016 paper
An elegant PyTorch deep reinforcement learning library.
Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
📕 Clarity in the current fast-paced mess of Open Source innovation
Model-Based Reinforcement Learning via Latent-Space Collocation.
Reinforcement Learning Environments for Omniverse Isaac Gym
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Base code for the Dingo quadruped; modified from Stanford Pupper and Notspot repositories. Includes integration with ROS Noetic and a simulation of the Dingo
PyTorch implementation of Soft Actor-Critic (SAC)
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC