see-upo-sequence-level-rl

Train multi-turn AI agents with convergence guarantees using sequential backward-induction updates, eliminating the need for separate critic networks while maintaining theoretical optimality. Use for long-horizon agentic reasoning where monotonic improvement and global optimality are required.

Independent GitHub snapshot · Automated classification · Original documentation governs