Interesting new paper on online RL for agents. Most agent training still treats deployment and learning as separate phases. Serve the model first, collect data later, fine-tune offline. But every agent interaction already contains a learning signal. This paper introduces
@dair_ai
-
Free AI Agents Course Now Available for Enrollment
By
–
NEW: Elements of AI Agents. Our first text-based AI course. If you are looking for an entry point to building AI Agents, check it out now. FREE to enroll now. (bookmark it) Audio available so you can listen on the go. Enroll here: https://
academy.dair.ai/courses/elemen
ts-of-ai-agents
… A lot more to -
Self-Evolving Agent Skills: Advanced AI Autonomy Research
By
–
Self-evolving agent skills. Great paper on the topic.
-
Reasoning-Aware Retrieval Enhances Deep Research Agent Performance
By
–
Reasoning-Aware Retrieval for Deep Research Agents Deep research agents generate explicit reasoning before every search call. These reasoning traces encode rich signals about search intent and problem-solving context. Yet no existing retriever learns to exploit them
-
Self-Evolving AI Agents Tool Genesis Benchmark Research
By
–
New research on Self-Evolving AI Agents. Really interesting benchmark for evaluating a critical but overlooked capability: can LLMs create reusable tools from scratch, not just use existing ones? Tool-Genesis tests whether models can infer interfaces, generate schemas, and
-
Free AI Agents Course: Learn Text and Audio Models
By
–
Excited to announce our first text + audio AI course. Searching for a solid entry point to learn about AI agents? Look no further. FREE for everyone. Enroll now!
-
Scaling Agent Memory for Long-Horizon Tasks Research
By
–
New research on scaling agent memory for long-horizon tasks.
-
Databricks KARL: Multi-Task RL for Enterprise Search Agents
By
–
New research from Databricks. It's about training enterprise search agents via RL. KARL introduces a multi-task RL approach where agents are trained across heterogeneous search behaviors, constraint-driven entity search, cross-document synthesis, and tabular reasoning. It
-
Building Coding Agents for Terminal: Key Lessons
By
–
Nice paper on lessons around building coding agents for the terminal.
-
Top AI Papers of the Week: Agents, LLMs and Theory
By
–
The Top AI Papers of the Week (March 1 – March 8) – NeuroSkill
– ParamMem
– Numina-Lean-Agent
– Bayesian Teaching for LLMs
– Auton Agentic AI Framework
– Theory of Mind in Multi-Agent LLMs
– Why LLMs Form Geometric Representations Read on for more: