CartPole-v-1

CartPole-v1 - 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 CartPole-v-1 (9)

Not All Transitions Matter: Evidence from PPO2026Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation2025 · 1 citesARISE: Adaptive Reinforcement Integrated with Swarm Exploration2026Beyond ReLU: Chebyshev-DQN for Enhanced Deep Q-Networks2025On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization2025Hybrid Quantum-classical Policy Gradient For Adaptive Control Of Cyber-physical Systems: A Comparative Study Of VQC Vs. MLP2025BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies2025Gradient Free Deep Reinforcement Learning With TabPFN2025Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP2025