Jul 2026
Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints
The wall-clock time required to train a decent policy is an important consideration for practitioners, and it is found that the sample-inefficient PPO algorithm can produce a performant policy faster than relatively more sample-efficient algorithms such as SAC and TD-MPC2, validating the common understanding of massive...
Hany Hamed, A. Naik, Colin Bellinger et al.
· arXiv.org · 0 citations