← Authors

Animesh Garg

59 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (221) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (59) ⚑ Prolific Year (5)

Conferences

CORL (16) NIPS (11) ICLR (10) ICML (8) CVPR (5) RSS (4) AAAI (2) ECCV (1) L4DC (1) UAI (1)

Top co-authors

Yuke Zhu (8) Dieter Fox (7) Li Fei-fei (5) Ajay Mandlekar (5) Silvio Savarese (5) Florian Shkurti (5) Samarth Sinha (5) Animashree Anandkumar (4) Miles Macklin (4) Eric Heiden (4)

Research topics

Reinforcement Learning (1)

Keywords

model-based reinforcement learning (4) sample efficiency (4) offline reinforcement learning (4) reinforcement learning (3) policy learning (3) imitation learning (3) variational inference (3) self-supervised learning (3) robotic manipulation (2) image generation (2) representation learning (2) deep reinforcement learning (2) point cloud (2) domain generalization (2) information bottleneck (2) multi-agent reinforcement learning (2) bayesian inference (2) video prediction (2) few-shot learning (2) data augmentation (2)

Papers

EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning ICLR 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning CORL 2025
TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies CORL 2025
PWM: Policy Learning with Multi-Task World Models ICLR 2025
AnyPlace: Learning Generalizable Object Placement for Robot Manipulation CORL 2025
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
Discovering Robotic Interaction Modes with Discrete Representation Learning CORL 2024
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation ICML 2024
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation CORL 2024
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward ICLR 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models NIPS 2023
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models ICLR 2023
Geometry Matching for Multi-Embodiment Grasping CORL 2023
Composable Part-Based Manipulation CORL 2023
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022
Breaking Bad: A Dataset for Geometric Fracture and Reassembly NIPS 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
MoCoDA: Model-based Counterfactual Data Augmentation NIPS 2022
RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments CORL 2022
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming CORL 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments NIPS 2022
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022
Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands ECCV 2022
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval CVPR 2022
Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors CVPR 2022
Modular Action Concept Grounding in Semantic Video Prediction CVPR 2022
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics ICML 2022
Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022
Value Gradient weighted Model-Based Reinforcement Learning ICLR 2022
Latent Skill Planning for Exploration and Transfer ICLR 2021
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions NIPS 2021
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers NIPS 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution CORL 2021
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects CORL 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CORL 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021
C-Learning: Horizon-Aware Cumulative Accessibility Estimation ICLR 2021
Conservative Safety Critics for Exploration ICLR 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021
Value Iteration in Continuous Actions, States and Time ICML 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
Robust Value Iteration for Continuous Control Tasks RSS 2021
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels RSS 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting RSS 2021
Angular Visual Hardness ICML 2020
Curriculum By Smoothing NIPS 2020
Causal Discovery in Physical Systems from Videos NIPS 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020
Counterfactual Data Augmentation using Locally Factored Dynamics NIPS 2020
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion CORL 2020
Semi-Supervised StyleGAN for Disentanglement Learning ICML 2020
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CORL 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CORL 2019
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos CVPR 2018
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision RSS 2018
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation CORL 2018