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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
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees
JMLR 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks
JMLR 2023
LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
JMLR 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills
CORL 2023
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
CORL 2023
Measuring Acoustics with Collaborative Multiple Agents
IJCAI 2023
One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments
RSS 2023
Soft Action Priors: Towards Robust Policy Transfer
AAAI 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
RSS 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
AAAI 2023
Conservative State Value Estimation for Offline Reinforcement Learning
NIPS 2023
Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees
AAAI 2023
Roll-Drop: accounting for observation noise with a single parameter
L4DC 2023
Learning Compositional Tasks from Language Instructions
AAAI 2023
Surveillance Evasion Through Bayesian Reinforcement Learning
AISTATS 2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
RSS 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations
NIPS 2023
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation
RSS 2023
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
AAAI 2023
Iterative Vision-and-Language Navigation
CVPR 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
NIPS 2023
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
NIPS 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
NIPS 2023
Multi-Agent congestion cost minimization with linear function approximations
AISTATS 2023
Video Prediction Models as Rewards for Reinforcement Learning
NIPS 2023
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