Hopper-v-4

Hopper-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 3531.1930. Each entry consists of: obs (lis

Papers using Hopper-v-4 (2)

ARISE: Adaptive Reinforcement Integrated with Swarm Exploration2026CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning2025 · 1 cites