HalfCheetah-v-4

HalfCheetah-v4 - Imitation Learning Datasets This is a dataset created by Imitation Learning Datasets project. It was created by using Stable Baselines weights from a TD3 policy from HuggingFace. Description The dataset consists of 1,000 episodes with an average episodic reward of 9809.9417. Each entry consists of: obs

Papers using HalfCheetah-v-4 (3)

Monte Carlo Beam Search For Actor-critic Reinforcement Learning In Continuous Control2025Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control2025PrefPoE: Advantage-Guided Preference Fusion for Learning Where to Explore2025