Animesh Garg
59 papers · 2018–2025 · 10 conferences · across top CS/AI conferences
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Conferences
CORL (16)
NIPS (11)
ICLR (10)
ICML (8)
CVPR (5)
RSS (4)
AAAI (2)
ECCV (1)
L4DC (1)
UAI (1)
Top co-authors
Research topics
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
GraspβD: 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