Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization

Build a library implementing Smooth Tchebysheff Scalarization for multi-objective offline RL. This helps researchers align models on multiple conflicting constraints without scalarization bias.

Suggested repo: ParetoRL

"Multi-objective alignment without the compromises of linear weighting."

Estimated effort: 40h