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@Thepracticaldev

A constructive and inclusive social network for software developers. With you every step of your journey.

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News

DEV Community
dev.to > vmodal_ai > capturing-human-demonstrations-for-imitation-learning-2l1l

Capturing Human Demonstrations for Imitation Learning

6+ day, 10+ hour ago   (276+ words) data — inconsistent, noisy, or poorly labeled — is one of the biggest silent killers of imitation learning...A good demonstration for imitation learning has three properties: Before recording anything, lock down...The next tutorial covers building the full imitation learning pipeline…...

DEV Community
dev.to > vmodal_ai > domain-randomization-for-robust-robot-learning-p97

Domain Randomization for Robust Robot Learning

6+ day, 10+ hour ago   (191+ words) It's one of the highest-leverage techniques in sim-to-real robot learning, and it's straightforward to...

DEV Community
dev.to > vmodal_ai > building-an-imitation-learning-pipeline-for-robotic-manipulation-4flk

Building an Imitation Learning Pipeline for Robotic Manipulation

6+ day, 10+ hour ago   (259+ words) This tutorial walks through building an end-to-end imitation learning pipeline: dataset loading, model...single steps — chunking (predicting several future actions at once) is standard in modern imitation learning...

DEV Community
dev.to > khalid_ali_77fe27/69/690065 > training-a-reinforcement-learning-agent-to-play-baloot-and-shipping-it-to-android-2hk5

Training a reinforcement-learning agent to play Baloot (and shipping it to Android)

3+ day, 7+ hour ago   (154+ words) The first opponent was a hand-written heuristic: count trump strength, bid Hokm with jack and nine, lead high in Sun. It played legal Baloot but lost to humans, mostly because bidding depends on your partner's likely hand and the dealer…...

DEV Community
dev.to > mitanshgor > rl-2-the-first-physical-and-computational-rl-machines1948-1954-1amh

RL 2: The first physical and computational RL machines(1948–1954)

2+ day, 3+ hour ago   (841+ words) Blog 1 established the rules of learning from biology....

DEV Community
dev.to > olaughter > object-agnostic-planners-grasp-unseen-objects-zero-shot-1iik

Object‑agnostic planners grasp unseen objects zero‑shot

2+ week, 2+ day ago   (768+ words) “By learning the intrinsic contact manifold of the gripper within this workspace, our model achieves...This suggests that while contact‑surface learning removes the need for object‑specific datasets, additional...Manipulation CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning…...

DEV Community
dev.to > glen_yu > what-i-learned-training-an-act-policy-for-the-lerobot-so-arm101-a5e

What I learned training an ACT policy for the LeRobot SO-ARM101

1+ week, 4+ day ago   (581+ words) I’ve been learning a lot about robotics in the last little while I’m here to document my journey and....

DEV Community
dev.to > olaughter > aiml-research-digest-jul-12-2026-ek5

AI/ML Research Digest — Jul 12, 2026

4+ week, 1+ day ago   (1126+ words) Agentic learning and closed‑loop evaluation Reinforcement‑learning methods for LLM agents are being paired...

DEV Community
dev.to > vmodal_ai > building-a-robot-teleoperation-system-for-data-collection-5cd7

Building a Robot Teleoperation System for Data Collection

6+ day, 10+ hour ago   (361+ words) If you're working on robot learning, you already know the bottleneck isn't the model — it's the data....bootstrap a dataset of real, physically-grounded robot trajectories that you can later use for imitation learning...the next tutorials, we'll cover how to…...

DEV Community
dev.to > vmodal_ai > building-and-testing-robot-policies-with-mujoco-2j1k

Building and Testing Robot Policies with MuJoCo

6+ day, 10+ hour ago   (267+ words) MuJoCo has become one of the go-to physics simulators for robot learning — it's fast, accurate for contact-rich...If your policy consumes images (as most imitation learning policies from earlier tutorials in this series...With the environment wrapped, plug in any…...

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