🤖 Reinforcement Learning - blurp · Scour

Dynamical Priors as a Training Objective in Reinforcement Learning 🧠Context Engineering

Three principles for AI Agent Configuration 🎭ai agent orchestration

ministryoftesting.com·2d

Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale 🎭ai agent orchestration

microsoft.com·1h

How to build custom reasoning agents with a fraction of the compute 🧠Context Engineering

venturebeat.com·1d

How does Reinforcement Learning Affect Models 🧠Context Engineering

lesswrong.com·3d

Artificial Intelligence: Foundations of Computational Agents 🕵️AI Agents

artint.info·3d·Hacker News

FutureWorld: A Live Environment for Training Predictive Agents with Real-World Outcome Rewards 🕵️AI Agents

The Data Layer Problem in Agentic AI — Why Your Agent Knows Everything Except What It Needs 🕵️AI Agents

docs.apitier.com·3d·DEV

Learning to Orchestrate Agents in Natural Language with the Conductor 🧠Context Engineering

openreview.net·3d·Hacker News

Policy Improvement Reinforcement Learning 🧠Context Engineering

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations 🤖Agentic AI

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication 🎭ai agent orchestration

DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making 🕵️AI Agents

I Would If I Could: Reasoning about Dynamics of Actions in Multi-Agent Systems 🧠Context Engineering

Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning 🧠Context Engineering

DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents 🧠Context Engineering

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones? 🎭ai agent orchestration

CoFi-PGMA: Counterfactual Policy Gradients under Filtered Feedback for Multi-Agent LLMs 🧠Context Engineering

On the Complexity of Robust Markov Decision Processes and Bisimulation Metrics 🧠Context Engineering

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents 🧠Context Engineering

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