Robotics
2,420 papers
Papers per year
4
13
13
14
4
14
15
20
20
18
14
22
53
99
176
229
289
276
360
380
335
52
'5
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'25
Papers
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
NeurIPS 2024
Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling
L4DC 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
NeurIPS 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents
EMNLP 2024
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
NeurIPS 2024
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
ICML 2024
Efficient skill acquisition for insertion tasks in obstructed environments
L4DC 2024
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
ICML 2024
EgoGen: An Egocentric Synthetic Data Generator
CVPR 2024
Embodied Executable Policy Learning with Language-based Scene Summarization
NAACL 2024
Embodied Human Activity Recognition
WACV 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
NeurIPS 2024
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
ICML 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NeurIPS 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
AAAI 2024
Enhancing Robotics with Cognitive Capabilities
AAAI 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
NeurIPS 2024
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes
NeurIPS 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
CoRL 2024
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
CVPR 2024
Evolution and learning in differentiable robots
RSS 2024
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
ICML 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
NeurIPS 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
ICML 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
NeurIPS 2024