Walker-2D
Emerging5papers using it
2025first seen
The 'Walker-2D' dataset/benchmark contains simulated environments for evaluating model-based reinforcement learning algorithms, specifically focusing on the performance of agents in a two-dimensional walking task.
Papers using Walker-2D (5)
- Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion PolicyUNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement LearningAdvantage-Guided Diffusion for Model-Based Reinforcement LearningPrediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement LearningARISE: Adaptive Reinforcement Integrated with Swarm Exploration