#RL Gym
41 related articles
·2 min
Transformer²: Achieving Co-Design of Robot Morphology and Control with a Unified Architecture
Deep dive into how Transformer² uses a unified Transformer architecture to integrate robot morphology design and motion control into one model, enabling task-driven end-to-end co-design for embodied AI.
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·2 min
OpenSpiel 2.0 Released: Reinforcement Learning Framework Fully Embraces Large Language Models
OpenSpiel 2.0 by Google DeepMind adds LLM fine-tuning examples, MCP tool server, JSON trajectories, AlphaZero on JAX, 19 new games, and Windows support.
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·3 min
GPT-5.6 Real-World Test: The True Capability Limits of AI-Assisted Game Development
A creator tests GPT-5.6 Codex on two real projects: an Android MAUI app and a tower defense game prototype. Zero code written for the app; the game demo surfaces multiple bugs. Honest look at AI coding's real limits.
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·3 min
Greenhouse Controller Showdown: Why Reinforcement Learning Lost to a Rule-Based Baseline
An open benchmark in GreenLight-Gym2 compares four greenhouse controllers, revealing why model-free RL (PPO) underperforms hand-tuned rules and how MPC and hybrid RL-in-MPC approaches can help.
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·2 min
RL3: A Zero-Code Reinforcement Learning Platform Where You Train Agents by Dragging and Dropping
RL3 is a zero-code, browser-based reinforcement learning platform featuring drag-and-drop environment design, visual reward configuration, and Q-learning/PPO training. Built by an indie developer over 15 months to make RL accessible to everyone.
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LeMario: An Open-Source Experiment in …
·2 min
LeMario: An Open-Source Experiment in Training JEPA World Models with Super Mario Bros
LeMario is an open-source project applying JEPA (Joint-Embedding Predictive Architecture) to Super Mario Bros, exploring how AI can understand world dynamics in abstract embedding space.
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·2 min
DecisionRL: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making
DecisionRL is an open-source RL library for operational decision-making, with six built-in scenarios (inventory, pricing, energy), OR baselines, and support for DQN, PPO, SAC, and more.
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Building RL-Powered Autonomous Researc…
·2 min
Building RL-Powered Autonomous Research Agents with NVIDIA NeMo
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
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decisionrl: An Open-Source Reinforceme…
·2 min
decisionrl: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making
decisionrl is an open-source RL library for operational decisions, with built-in environments for inventory, pricing, supply chain, and OR baselines for comparison. Built on PyTorch, MIT licensed.
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·2 min
Reinforce: A Developer's Open-Source Python Library for Reinforcement Learning — Lightweight and Readable
Developer Denis Drobyshev releases Reinforce, his first open-source RL Python library on GitHub. Learn about its value for beginners, common challenges in new open-source projects, and how to contribute.
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·2 min
1 Billion Tokens in 17 Days: Is the Cursor Pro+ Plan Worth Subscribing To?
A developer burned 1B tokens in 17 days on Cursor Pro+ for $60/month — we break down the real value, subsidy logic, and sustainability of this AI coding subscription.
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·3 min
YOLO-Pose Real-Time Yoga Pose Recognition and Correction System Explained
A deep dive into a real-time yoga pose recognition system built with YOLO-Pose: 33 keypoints, deterministic logic engine, and geometric angle thresholds for explainable AI coaching.
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·2 min
How to Get Vizuara Robot Learning Course Notes & Free Resource Guide
Want free Vizuara 'Modern Robot Learning from Scratch' course notes? This guide covers official channels, GitHub resources, and recommends free courses like UC Berkeley CS285.
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·3 min
GPT-5.6 Launch: Three Models Taking on Claude, and a Full Breakdown of the ChatGPT Work Super App
OpenAI launches GPT-5.6 with three models (Soul/Terra/Luna) targeting Claude. Leads Agent benchmark by 13 points at 1/4 the cost. ChatGPT Work super app takes on Anthropic directly.
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·2 min
The Complete TypeScript Guide: How JavaScript's Superset Came to Dominate Modern Web Development
TypeScript is Microsoft's JavaScript superset that catches errors at compile time via static type checking. Explore its core benefits, ecosystem, and trade-offs.
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·3 min
The Cost Trap of AI Video Generation: A Complete Pricing Strategy Guide for iOS Apps
AI video generation costs ~$1 per 10 seconds. How should iOS developers price their apps? This deep dive covers unit economics, credit-based pricing, and vertical market strategies.
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·3 min
GPT 5.6 + Codex In-Depth Review: Three-Tier Models and Ultra Mode Fully Explained
GPT 5.6 updates Codex with Sol/Terra/Luna model tiers, Ultra thinking mode, 350K context, and stronger autonomous loops. Full hands-on review of all core upgrades.
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·2 min
Deep Dive into Claude Skills Open Source Project: A Practical Guide to Building an AI Skill Library for Engineers
Matt Pocock open-sources the mattpocock/skills project, publicly sharing his personal .claude directory config. An in-depth look at the Claude Skills mechanism, skill library methodology, and the shift from prompt engineering to skill engineering.
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·7 min
Practical RL Compute Optimization: Core Strategies to Boost CPU and GPU Utilization
An in-depth look at why CPU and GPU utilization is low in RL training, covering vectorized environment parallelism, distributed Actor-Learner architectures, GPU-side simulation (Isaac Gym/Brax), and Ray RLlib practice.
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·7 min
Grok 4.5 Launch: Coding AI Market Reshuffle, Anthropic Claims Half the Territory
Grok 4.5 launches at just $0.49 per task, 90% cheaper than rivals. Anthropic's Claude Code claims 50% of the AI coding market. SambaNova raises $1B. Read the latest AI market shifts.
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