MT-30

The MT-30 benchmark is a dataset used to evaluate the performance of multi-task reinforcement learning agents across diverse tasks.

Papers using MT-30 (2)

TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents2025Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning2025