5 results for "rl environments"
'World models' are AI's latest sensation: what are they and what can they do?
Training AI world models on data about physical environments could improve their real-world capabilities in technologies such as robotics.…
How do you debug when the same workflow behaves differently across environments?
Ran into something odd recently. Same workflow, same inputs. Staging and prod both return 200s, CI is green, but the actual behavior is different.Logs didn’t really help. Everything looked “fine”, but…
Discovering Agentic Safety Specifications from 1-Bit Danger Signals
Can large language model agents discover hidden safety objectives through experience alone? We introduce EPO-Safe (Experiential Prompt Optimization for Safe Agents), a framework where an LLM iterative…
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of "decentralized factories", multi-agent reinforcement learning has emerged a…
Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence
This review proposes an integrative framework grounded on interoception and embodied AI-termed the interoceptive machine framework-that translates biologically inspired principles of internal-state re…