The Conference on Robot Learning (CoRL) is an annual international conference focusing on the intersection of robotics, autonomous driving, and machine learning. CoRL 2020 was held virtually on November 16th - 18th, 2020.

CoRL 2020

[CoRL 2020 Best Paper] Learning Latent Representations to Influence Multi-Agent Interaction

[CoRL 2020 Best System Paper] SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving

[CoRL 2020 Best Paper Presentation Award] Accelerating Reinforcement Learning with Learned Skill Priors

[CoRL 2020 Best Paper Nominee] Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs

[CoRL 2020 Best Paper Nominee] Learning from Suboptimal Demonstration via Self-Supervised Reward Regression

[CoRL 2020 Best Paper Nominee] Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions

[CoRL 2020 Best System Paper Nominee] DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer

[CoRL 2020 Best Paper Presentation Nominee] Transporter Networks: Rearranging the Visual World for Robotic Manipulation

[CoRL 2020 Best Paper Presentation Nominee] Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs

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CoRL 2020 Best Papers

CoRL 2020

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