Akshara Rai
16 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (8)
π
Academic Marathon
(8)
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Cross-Pollinator
(6)
π
Interdisciplinary Bridge
π₯
Mega-Team
(23)
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Century Club
(16)
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Conference Pioneer
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Trend Setter
ποΈ
Keyword Collector
(61)
Conferences
CORL (7)
ICCV (2)
ICLR (2)
ECCV (1)
ICML (1)
JMLR (1)
L4DC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
bayesian optimization
(4)
robot manipulation
(3)
embodied ai
(2)
sample efficiency
(2)
reinforcement learning
(2)
imitation learning
(2)
uncertainty quantification
(1)
inverse reinforcement learning
(1)
domain adaptation
(1)
model predictive control
(1)
visual navigation
(1)
bayesian modeling
(1)
gaussian process
(1)
trajectory optimization
(1)
inverse dynamics
(1)
model-based reinforcement learning
(1)
differentiable programming
(1)
high-dimensional optimization
(1)
preference learning
(1)
metric learning
(1)
Papers
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
ICLR 2025
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
ICLR 2024
Situated Instruction Following
ECCV 2024
Adaptive Coordination in Social Embodied Rearrangement
ICML 2023
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions
ICCV 2023
Skill Transformer: A Monolithic Policy for Mobile Manipulation
ICCV 2023
Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation
CORL 2022
Transformers Are Adaptable Task Planners
CORL 2022
Cross-Domain Transfer via Semantic Skill Imitation
CORL 2022
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
L4DC 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
CORL 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
NIPS 2020
Curious iLQR: Resolving Uncertainty in Model-based RL
CORL 2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
JMLR 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
CORL 2019
Deep Kernels for Optimizing Locomotion Controllers
CORL 2017