This repository provides a complete suite of multi-agent reinforcement learning algorithms—including MADDPG, DDPG, PPO, and more—integrated with standard benchmarks like the Multi-Agent Particle Environment and OpenAI Gym. It features customizable environment wrappers, configurable training scripts, real-time logging, and performance evaluation metrics. Users can easily extend algorithms, adapt to custom tasks, and compare policies across cooperative and adversarial settings with minimal setup.

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jason-RL adds a reinforcement learning layer to the Jason multi-agent framework, allowing AgentSpeak BDI agents to learn action-selection policies via reward feedback. It implements Q-learning and SARSA algorithms, supports configuration of learning parameters (learning rate, discount factor, exploration strategy), and logs training metrics. By defining reward functions in agent plans and running simulations, developers can observe agents improve decision making over time, adapting to changing environments without manual policy coding.

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Multi-Agent Reinforcement Learning by alaamoheb is a comprehensive open-source library designed to facilitate the development, training, and evaluation of multiple agents acting in shared environments. It includes modular implementations of value-based and policy-based algorithms such as DQN, PPO, MADDPG, and more. The repository supports integration with OpenAI Gym, Unity ML-Agents, and the StarCraft Multi-Agent Challenge, allowing users to experiment in both research and real-world inspired scenarios. With configurable YAML-based experiment setups, logging utilities, and visualization tools, practitioners can monitor learning curves, tune hyperparameters, and compare different algorithms. This framework accelerates experimentation in cooperative, competitive, and mixed multi-agent tasks, streamlining reproducible research and benchmarking.

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AdeptLR utilizes advanced AI technology to provide personalized LSAT prep. The platform focuses on areas of weakness in Logical Reasoning and Reading Comprehension, offering targeted drills and comprehensive reviews. With adaptive learning algorithms, AdeptLR helps students efficiently master the skills required to excel in the LSAT.

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LearnItAb is an innovative Chrome extension that serves as an all-in-one dashboard for students. It helps streamline your educational journey by providing easy access to various resources such as internship listings, competition announcements, mentorship opportunities, scholarships, volunteer events, and other important information. With a user-friendly interface, LearnItAb consolidates essential tools and resources into one accessible platform, allowing students to stay organized and proactive in their academic pursuits. Whether you’re looking for ways to enhance your resume or seeking opportunities to give back to the community, LearnItAb is designed to meet your needs efficiently.

Adaptiv Me is an AI-driven career intelligence platform designed to provide personalized mentoring and skill enhancement. It offers a range of micro-learning modules on emerging skills and career advice tailored to individual goals. Adaptiv Me helps users stay updated with the latest industry requirements and secure jobs through a combination of AI insights, mentoring, and structured learning paths. The platform's unique selling point is its focus on short, engaging, and relevant content, which allows users to learn effectively without the jargon of traditional courses.

AI+Learn is a unique platform that allows users to participate in the creation of AI-generated literature. By reading samples and casting votes, readers help determine which stories get fully realized into books. This interactive approach not only democratizes the publishing process but also showcases the vast potential of AI in creative writing. Users gain insights into how AI can transform storytelling, making it an exciting experience for both readers and aspiring authors.

Learnt.ai is an advanced AI-driven platform tailored for educational professionals. It offers over 80 AI-powered tools that streamline the creation of high-quality lesson plans, assessment questions, learning objectives, and other educational resources. Designed to enhance productivity and content quality, Learnt.ai empowers educators to focus more on teaching and less on content creation, ensuring impactful and engaging lessons for students.

AdaptMyCV is a cutting-edge resume customization tool that enhances job application success rates. It allows users to tailor their resumes and cover letters to suit specific job descriptions, making the application process smoother and more efficient. With AdaptMyCV, you can easily customize your resume from your existing one by adding job details and keywords, ultimately increasing the probability of getting shortlisted for interviews.

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Atomic Learning is a cutting-edge platform designed to facilitate language learning using daily AI-generated audio challenges. Catering to both learners and native speakers, it offers a variety of topics, levels, and accents to enhance the learning experience. By integrating these dynamic challenges into daily practice, Atomic Learning aims to make language acquisition more effective and engaging for users of all proficiency levels.

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