Dobb·E: An open-source, general framework for learning household robotic manipulation
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Updated
Oct 15, 2024 - G-code
Dobb·E: An open-source, general framework for learning household robotic manipulation
Official code repository of "VideoCAD: A Dataset and Model for Learning Long‑Horizon 3D CAD UI Interactions from Video" @ NeurIPS 2025
RL based agent for browser-based multiplayer battle royale game «surviv.io»
This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"
Machine learning robotics engineer preparation material.
MinBC - Minimal Behavior Cloning
stable-baselines with JAX & Haiku
End-to-end self-driving AI in Forza using PyTorch, screen capture, telemetry, Grad-CAM, and virtual controller feedback.
NitroGen Server is a specialized inference server for the NitroGen foundation model (originally by MineDojo). It provides a high-performance backend for generalist gaming agents, allowing them to play games by processing visual input and generating controller commands.
End-to-end deep RL for urban autonomous driving in CARLA — PPO + Behavior Cloning, a custom CNN perception policy, and ROS 2 integration.
TraceOS standardizes AI experiments into reproducible, searchable, and comparable assets. One command runs experiments, generates reports, and produces structured analysis: capability vectors, failure taxonomy, and recommendations. Every run is tracked, traceable, and comparable. Built on ABC-130K (amazon-far/abc). Apache 2.0.
DRL agent for MicroRTS: U-Net + entity-Transformer (UECD) policy trained with modular PPO. Tops a 19-agent IEEE-CoG-style tournament at 96.67% WR and beats RAISocketAI in 65.7% of head-to-heads, on a 9.47 GPU-day budget. Master's thesis, UCLouvain 2026.
VQ-BeT, DiTFlow, and ARBeT policies for Push-T manipulation (LeRobot)
Touch-only robotic manipulation for a three-finger tactile claw, with MuJoCo simulation and ROS 2 control nodes for future sim-to-real
Behavior Cloning pipeline for robot manipulation using Robosuite + PyTorch, MLP policy, 80% success rate
Self-driving Car Nano-degree. Behavior cloning. Driving simulation.
Visual behavior cloning policy for skill-chaining.
Vision-based imitation learning policy for a MiniWorld robot that learns from human demonstrations to collect yellow objects across unseen environments.
Recurrent DDPG with Behavior Cloning for automated futures trading on FIMTX (Mini Taiwan Stock Index Futures)
Implemented Behavior Cloning, DAgger, Double Q-Learning, Dueling DQN, and Proximal Policy Optimization (PPO) in a simulated environment and analyzed/compared their performance in terms of efficiency, stability, and generalization.
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