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Vikash Kumar

29 papers · 2018–2024 · 7 venues · across top CS/AI venues

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Achievements

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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (16) 🀝 Dynamic Duo (11) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (126)

Venues

CoRL (8) ICLR (7) ICML (5) RSS (5) L4DC (2) NeurIPS (1) WACV (1)

Top co-authors

Sergey Levine (11) Aravind Rajeswaran (9) Abhishek Gupta (7) Vittorio Caggiano (4) Michael Ahn (3) Karol Hausman (3) Igor Mordatch (2) Shagun Sodhani (2) Yecheng Jason Ma (2) Dinesh Jayaraman (2)

Research topics

Artificial Intelligence (21) Reinforcement Learning (20) Applications (16) Machine Learning (15) Core AI (13) Learning Paradigms (10) Learning Types Β· Machine Learning (10) Methods (9) Robotics (7) Capabilities (7) Deep Learning (4) Core Methods (4) Learning Types Β· Deep Learning (3) Application Areas (2) Optimization & Theory (2)

Keywords

reinforcement learning (10) imitation learning (6) dexterous manipulation (5) representation learning (5) model-based reinforcement learning (3) robot learning (3) continuous control (3) transfer learning (3) robot manipulation (3) sample efficiency (3) reward learning (2) skill discovery (2) hierarchical reinforcement learning (2) model predictive control (2) domain adaptation (2) self-supervised learning (2) policy gradient (2) unsupervised learning (2) visual representation (2) manipulation task (2)

Papers

TorchRL: A data-driven decision-making library for PyTorch ICLR 2024 CoNMix for Source-Free Single and Multi-Target Domain Adaptation WACV 2023 GenAug: Retargeting behaviors to unseen situations via Generative Augmentation RSS 2023 Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware RSS 2023 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations ICLR 2023 MyoDex: A Generalizable Prior for Dexterous Manipulation ICML 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CoRL 2023 RoboHive: A Unified Framework for Robot Learning NeurIPS 2023 SAR: Generalization of Physiological Dexterity via Synergistic Action Representation RSS 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023 Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022 Cross-Domain Transfer via Semantic Skill Imitation CoRL 2022 MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control L4DC 2022 R3M: A Universal Visual Representation for Robot Manipulation CoRL 2022 Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots ICML 2022 RRL: Resnet as representation for Reinforcement Learning ICML 2021 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 Dynamics-Aware Unsupervised Discovery of Skills ICLR 2020 Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020 The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020 Deep Dynamics Models for Learning Dexterous Manipulation CoRL 2019 Learning Latent Plans from Play CoRL 2019 Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real CoRL 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning CoRL 2019 ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots CoRL 2019 Divide-and-Conquer Reinforcement Learning ICLR 2018 Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018 Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines ICLR 2018