Hybrid SAC+SNES training improves swing-up and competition scores for underactuated robots over RL-only baselines.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots
Hybrid SAC+SNES training improves swing-up and competition scores for underactuated robots over RL-only baselines.