Animesh Garg

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