Balakrishna, Ashwin

9 publications

CoRL 2024 OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan P Foster, Pannag R Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn

ICML 2024 Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh

NeurIPS 2022 Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations Albert Wilcox, Ashwin Balakrishna, Jules Dedieu, Wyame Benslimane, Daniel Brown, Ken Goldberg

CoRL 2021 LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg

ICML 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning Zaynah Javed, Daniel S Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca Dragan, Ken Goldberg

CoRL 2021 ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque, Ashwin Balakrishna, Ellen Novoseller, Albert Wilcox, Daniel S. Brown, Ken Goldberg

CoRL 2020 Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects Michael Danielczuk, Ashwin Balakrishna, Daniel Brown, Ken Goldberg

CoRL 2020 Untangling Dense Knots by Learning Task-Relevant Keypoints Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg

CoRL 2019 On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Felix Li, Arsh Zahed, Joseph E. Gonzalez, Ken Goldberg