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Ashwin Balakrishna — most-cited papers & profile · Reinforcement Learning
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overview
Ashwin Balakrishna
32
papers ·
629
citations ·
19
h-index
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Semantic Scholar ↗
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Most-cited papers
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
2020 · 20 citations
On-Policy Robot Imitation Learning from a Converging Supervisor
2019 · 14 citations
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
2019 · 8 citations
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
2021 · 5 citations
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
2022 · 5 citations
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
2021 · 2 citations
Dynamics-Aware Comparison of Learned Reward Functions
2022 · 2 citations
$π^*_0.6$: a VLA That Learns From Experience
2025
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
2024
Top co-authors
Joseph E. Gonzalez
· 4
Chelsea Finn
· 3
Suraj Nair
· 3
Michael Luo
· 2
Sergey Levine
· 2
Allen Z. Ren
· 1
Brian Ichter
· 1
Daniel S. Brown
· 1
Danny Driess
· 1
Ion Stoica
· 1
Jean Mercat
· 1
Jie Tan
· 1
Topics
Safe RL
Model-Based RL
Exploration
Value-Based
Offline RL
Meta-RL
Policy Gradient
cs.LG
cs.RO