Stars
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
A multi-agent quadruped environment, supporting learning of locomotion control or merely high-level planning.
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
Persists tmux environment across system restarts.
Android App to track you attendance , location based
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Level-based Foraging (LBF): A multi-agent environment for RL
BabyAI platform. A testbed for training agents to understand and execute language commands.
Code for 'Learning Feasibility to Imitate Demonstrators with Different Dynamics'
Code for ICML 2022 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization"
Solving long-horizon tasks in the Franka Kitchen gym environment via Imitation and Reinforcement Learning
Genetic Programming in Python, with a scikit-learn inspired API
Symbolic Regression from Scratch with Python
This is the official impl 78C5 ementation of Multi-Agent PPO (MAPPO).
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
uoe-agents / seac
Forked from semitable/seacThe official code base of Shared Experience Actor-Critic (NeurIPS2020)
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
An extension of the PyMARL codebase that includes additional algorithms and environment support
Python Multi-Agent Reinforcement Learning framework
uoe-agents / lb-foraging
Forked from semitable/lb-foragingLevel-Based Foraging (LBF): A multi-agent reinforcement learning environment