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Robotics
2069 directly classified papers
Papers per year
2005: 4
2006: 13
2007: 13
2008: 14
2009: 4
2010: 14
2011: 15
2012: 20
2013: 20
2014: 18
2015: 14
2016: 22
2017: 53
2018: 84
2019: 166
2020: 215
2021: 282
2022: 268
2023: 342
2024: 254
2025: 193
2026: 41
Papers
Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions
L4DC 2023
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
L4DC 2023
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
L4DC 2023
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
L4DC 2023
Learning Locomotion Skills from MPC in Sensor Space
L4DC 2023
Model-Based Reinforcement Learning for Cavity Filter Tuning
L4DC 2023
Physics-Informed Model-Based Reinforcement Learning
L4DC 2023
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control
L4DC 2023
Policy Adaptation From Foundation Model Feedback
CVPR 2023
Safe Reinforcement Learning via Shielding under Partial Observability
AAAI 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
CORL 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
AAAI 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
NIPS 2023
Soft Action Priors: Towards Robust Policy Transfer
AAAI 2023
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning
AAAI 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
AAAI 2023
Learning Compositional Tasks from Language Instructions
AAAI 2023
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning
CORL 2023
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
AAAI 2023
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
AAAI 2023
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning
AAAI 2023
GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials
RSS 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations
NIPS 2023
Efficient Online Reinforcement Learning with Offline Data
ICML 2023
Transferable Curricula through Difficulty Conditioned Generators
IJCAI 2023
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