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.
Recurrent DDPG with Behavior Cloning for automated futures trading on FIMTX (Mini Taiwan Stock Index Futures)
Vision-based imitation learning policy for a MiniWorld robot that learns from human demonstrations to collect yellow objects across unseen environments.
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.
Visual behavior cloning policy for skill-chaining.
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