Reda ALAMI's repositories
A3C2-in-TensorFlow-2
Implementation of the Asynchronous Advantage Actor Critic with Communication in TensorFlow 2
ad-deadlines
Countdown for all* relevant conferences in the domain of autonomous driving
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
arena
DIAMBRA Arena
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
GRID-playground
Platform for General Robot Intelligence Development
gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
jumanji
🌴 A Suite of Industry-Driven Hardware-Accelerated RL Environments written in JAX
learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLMs-Finetuning-Safety
We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.
Multi-Agent-Reinforcement-Learning-Environment
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
non_conventional_value_function_approximation
Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning
ol-ems
Online learning algorithm for microgrid energy management based on MPC
OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING
This project is a part of my Data Science Internship at Technocolabs Softwares.
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
RL-Bitcoin-trading-bot
Trying to create Reinforcement Learning powered Bitcoin trading bot
RL4RS
A Real-World Benchmark for Reinforcement Learning based Recommender System
roerich
Roerich is a python library of change point detection algorithms for time series.
safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
SPIN_official
The official implementation of Self-Play Fine-Tuning (SPIN)
TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
trl
Train transformer language models with reinforcement learning.
TSCP2
Time Series Change Point Detection based on Contrastive Predictive Coding