Rliable: Better Evaluation for Reinforcement Learning - A Visual Explanation | Antonin Raffin | Homepage

Rliable: Better Evaluation for Reinforcement Learning - A Visual Explanation It is critical for Reinforcement Learning (RL) practitioners to properly evaluate and compare results. Reporting results with poor comparison leads to a progress mirage and may underestimate the stochasticity of the results. To this end, Deep RL at the Edge of the Statistical Precipice (Neurips Oral) provides recommendati