← Authors

Abhishek Gupta

68 papers · 2018–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (17) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (21) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ”¬ Deep Specialist (14) 🀝 Dynamic Duo (27) πŸ‘₯ Mega-Team (98) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (218) ❓ The Questioner ⚑ Prolific Year (14) πŸ’Ž Century Club (68) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

NIPS (21) ICLR (16) CORL (11) RSS (8) ICML (3) EMNLP (2) AISTATS (1) COLT (1) CVPR (1) IJCAI (1) INTERSPEECH (1) NAACL (1) UAI (1)

Top co-authors

Sergey Levine (27) Chelsea Finn (8) Pulkit Agrawal (8) Vikash Kumar (7) Marius Memmel (7) Pieter Abbeel (6) Chuning Zhu (6) Dieter Fox (5) Yunchu Zhang (5) Arhan Jain (4)

Keywords

reinforcement learning (21) imitation learning (7) robot learning (4) sample efficiency (4) generative model (4) policy learning (4) automatic speech recognition (3) deep reinforcement learning (3) dexterous manipulation (3) domain generalization (3) distribution shift (3) domain adaptation (3) meta-reinforcement learning (3) policy search (2) offline reinforcement learning (2) model-based reinforcement learning (2) representation learning (2) curriculum learning (2) self-supervised learning (2) continual learning (2)

Papers

Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning ICLR 2025
AMPS: ASR with Multimodal Paraphrase Supervision NAACL 2025
Robot Learning with Super-Linear Scaling RSS 2025
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets RSS 2025
Evolvable Conditional Diffusion IJCAI 2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning CORL 2025
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CORL 2025
ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning CORL 2025
DRAWER: Digital Reconstruction and Articulation With Environment Realism CVPR 2025
Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning EMNLP 2025
SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks ICLR 2025
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation ICLR 2025
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning ICLR 2025
Distributional Successor Features Enable Zero-Shot Policy Optimization NIPS 2024
ASID: Active Exploration for System Identification in Robotic Manipulation ICLR 2024
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning ICLR 2024
Improving Self-supervised Pre-training using Accent-Specific Codebooks INTERSPEECH 2024
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR EMNLP 2024
Modeling Boundedly Rational Agents with Latent Inference Budgets ICLR 2024
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning ICLR 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration CORL 2024
Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation RSS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images RSS 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NIPS 2024
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NIPS 2023
RoboHive: A Unified Framework for Robot Learning NIPS 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features NIPS 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback NIPS 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models ICML 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback CORL 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CORL 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023
Cherry-Picking with Reinforcement Learning RSS 2023
Learning to Extrapolate: A Transductive Approach ICLR 2023
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation RSS 2023
Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NIPS 2023
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity NIPS 2022
Graph Learning Assisted Multi-Objective Integer Programming NIPS 2022
Distributionally Adaptive Meta Reinforcement Learning NIPS 2022
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation CORL 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking ICLR 2022
Learning to Reach Goals via Iterated Supervised Learning ICLR 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NIPS 2021
Teachable Reinforcement Learning via Advice Distillation NIPS 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation CORL 2021
Adaptive Risk Minimization: Learning to Adapt to Domain Shift NIPS 2021
Autonomous Reinforcement Learning via Subgoal Curricula NIPS 2021
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NIPS 2020
The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020
Gradient Surgery for Multi-Task Learning NIPS 2020
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning CORL 2019
Diversity is All You Need: Learning Skills without a Reward Function ICLR 2019
Learning Actionable Representations with Goal Conditioned Policies ICLR 2019
Automatically Composing Representation Transformations as a Means for Generalization ICLR 2019
Guiding Policies with Language via Meta-Learning ICLR 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots CORL 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning NIPS 2019
Guided Meta-Policy Search NIPS 2019
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings ICML 2018