Ashwin Balakrishna
13 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (8)
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Academic Marathon
(6)
🌉
Interdisciplinary Bridge
👥
Mega-Team
(98)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
📈
Trend Setter
🗃️
Keyword Collector
(50)
💎
Century Club
(13)
Conferences
CORL (6)
RSS (4)
ICML (2)
NIPS (1)
Top co-authors
Research topics
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
OpenVLA: An Open-Source Vision-Language-Action Model
CORL 2024
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
ICML 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
NIPS 2022
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
CORL 2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
RSS 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 Knots by Learning Task-Relevant Keypoints
CORL 2020
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
RSS 2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
CORL 2020
On-Policy Robot Imitation Learning from a Converging Supervisor
CORL 2019