LunarLander-v-2

LunarLander-v2 - Imitation Learning Datasets This is a dataset created by Imitation Learning Datasets project. It was created by using Stable Baselines weights from a PPO policy from HuggingFace. Description The dataset consists of 1,000 episodes with an average episodic reward of 500. Each entry consists of: obs (list

Papers using LunarLander-v-2 (3)

Not All Transitions Matter: Evidence from PPO2026Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation2025 · 1 citesPrefPoE: Advantage-Guided Preference Fusion for Learning Where to Explore2025