Proposes bounded exploration, selecting high world-model uncertainty actions from SAC's sampled candidates, and reports mixed, statistically weak results on MuJoCo benchmarks.
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Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm
Proposes bounded exploration, selecting high world-model uncertainty actions from SAC's sampled candidates, and reports mixed, statistically weak results on MuJoCo benchmarks.