69 related articles

Quadruped robots achieve 5+ m/s running speed with payload and off-road capability. Explore how RL Sim-to-Real methods break the impossible triangle of speed, load, and terrain adaptability.

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.

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.

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.

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.
LeMario: An Open-Source Experiment in …
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.

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.
Building RL-Powered Autonomous Researc…
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
decisionrl: An Open-Source Reinforceme…
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.

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.

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.

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.

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.

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.

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.

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.

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.

Per French leak site Dealabs, Google's Pixel lineup may see across-the-board price hikes. The Pixel Watch 5 41mm could start at $399, with the LTE version reaching $499—nearly 15% higher than the Watch 4.

GPT-5.6 is now officially available to all users, launching the three-tier Sol, Terra, and Luna models with four-agent parallelism. An in-depth look at the official benchmarks, API pricing, safety, and Ultra mode.

This week in AI: OpenAI launches GPT-5.6 in three tiers (Sol/Terra/Luna) hitting 91.9% on coding benchmarks; DeepSeek and PKU open-source DSpark for 85% faster inference; Prime Intellect trains trillion-param models on just 28 H200s; Anthropic Claude enters Slack.