Mowbray-R-V's Stars
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
apple/coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
eclipse-sumo/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
tigerneil/awesome-deep-rl
For deep RL and the future of AI.
Farama-Foundation/D4RL
A collection of reference environments for offline reinforcement learning
PKU-Alignment/omnisafe
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
SilenceOverflow/Awesome-SLAM
A curated list of SLAM resources
benelot/pybullet-gym
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
ankitshah009/all-about-ai-residency
AI residency programs information
anagabandi/nn_dynamics
ldkong1205/RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
PacktPublishing/Deep-Learning-for-Computer-Vision
Deep Learning for Computer Vision, by Packt
Plankson/awesome-explainable-reinforcement-learning
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
hejia-zhang/awesome-model-based-reinforcement-learning
A curated list of awesome Model-based reinforcement learning resources
chuangyc/awesome-multiagent-learning
A curated list of multiagent learning and related area resources.
WeiChengTseng/awesome-multi-agent
A curated list of awesome multi-agent learning papers
hari-sikchi/LOOP
Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
mschoder/vehicle_mpc
MPC controller for linear, nonlinear, and robust linear kinematic bicycle model
Aladoro/Stabilizing-Off-Policy-RL
rameshovyas/30-Days-of-Python-Exercises
Solutions to the exercises in 30-days-of-python repo | Python Coding Exercises Solutions | Python exercise repository | Python Solutions | Python Learning | Python Practice Exercises and Solutions
irsol/30-Day-LeetCoding-Challenge
30 Days of Code Challenge
brandontrabucco/off-policy
Off-Policy Reinforcement Learning Algorithms
Fraganya/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
chengliu-LR/off-policy-RL-algorithms
PyTorch Implementation of off-policy reinforcement learning algorithms like Q-learning, DQN, DDPG and TD3.
Mowbray-R-V/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning