Ashwin Balakrishna

13 papers · 2019–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+6 more ↓

🗺️ Taxonomy Completionist (22) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 👥 Mega-Team · Legion 🤝 Dynamic Duo (10) 🗃️ Keyword Collector (62) 📈 Trend Setter 💎 Century Club · Bronze

Venues

CoRL (6) RSS (4) ICML (2) NeurIPS (1)

Top co-authors

Ken Goldberg (10) Dorsa Sadigh (4) Brijen Thananjeyan (4) Thomas Kollar (3) Albert Wilcox (3) Suraj Nair (3) Siddharth Karamcheti (3) Chelsea Finn (2) Michael Laskey (2) Quan Vuong (2)

Research topics

Machine Learning (10) Artificial Intelligence (8) Core AI (7) Reinforcement Learning (6) Learning Types (5) Methods (5) Core Methods (4) Robotics (3) Applications (3) Capabilities (3) Optimization & Theory (2) Application Areas (1) Bayesian & Probabilistic (1) Learning Paradigms (1)

Keywords

imitation learning (4) reinforcement learning (3) cable untangling (2) continuous control (2) robot manipulation (2) policy gradient (1) markov decision process (1) budget-aware learning (1) robotic grasping (1) domain randomization (1) interactive learning (1) mutual information (1) sequential decision making (1) novelty detection (1) demonstration learning (1) generalization ability (1) depth perception (1) reward uncertainty (1) safe reinforcement learning (1) robotic manipulation (1)

Papers

Robot Data Curation with Mutual Information Estimators RSS 2025 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 OpenVLA: An Open-Source Vision-Language-Action Model CoRL 2024 Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ICML 2024 Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations NeurIPS 2022 LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks CoRL 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CoRL 2021 Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies RSS 2021 Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects CoRL 2020 Untangling Dense Knots by Learning Task-Relevant Keypoints CoRL 2020 VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation RSS 2020 On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019