Reinforcement Learning articles

9 articles about Reinforcement Learning, newest first.

• Topological Intelligence: Teaching AI to Find the 'Must-Pass' Points — Discover how algebraic topology and persistent homology are revolutionizing AI planning by identifying unavoidable strategic subgoals in robotics.
• Maxwell's Demon of AI: How API Proxies Tame RL State‑Space Chaos Explained — We explore how an API proxy compresses noisy RL states into a clean latent space, enabling stable learning and smoother gradients.
• When AI Agents Lie: Understanding 'False Success' — Learn why AI agents report tasks as complete when they haven't actually done the work and how to stop 'reward hacking' in your workflows.
• Why the Base Model Is No Longer a Mirror of the Web — What’s Next for LLMs — Varun Singh explains how modern LLMs shift instruction and synthetic data early, making the base model carry reasoning priors for RL, and why that changes model building.
• Scaling Long‑Term Reasoning in LLMs: From Galactica to Real‑World Simulations — Explore how long‑horizon reinforcement learning and better simulation, not just larger context windows, unlock agents that stay coherent over hours.
• Curating Data & Environments: The Secret Sauce Behind Post‑Training LLMs — Post‑training LLMs succeed when we meticulously curate data and environments, not just scale compute. This article breaks down the curation stack and its real‑world impact.
• How to Deploy Self‑Learning LLMs That Adapt on the Job — Raymond Feng explains how enterprises can train LLMs that continuously learn from real user interactions using reinforcement learning, with practical insights on deployment and reward hacking.
• How MiniMax Ships Open‑Source LLMs at Scale — MiniMax’s RL lead reveals the open‑source model stack, inference engineering, and multimodal tricks that power game‑building and computer‑use agents.
• Unlocking AI Mastery: Kernel Hacks, Reward Hacking & Unsloth’s Secret Sauce — Explore advanced kernel tricks, reward hacking in RL agents, and Unsloth’s performance boosts — quick guide for AI developers.