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Reinforcement Learning
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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
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
CORL 2020
Auxiliary Tasks Speed Up Learning Point Goal Navigation
CORL 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
CORL 2020
Robust Reinforcement Learning with Bayesian Optimisation and Quadrature
JMLR 2020
Importance Sampling Techniques for Policy Optimization
JMLR 2020
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
CORL 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
CORL 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
CORL 2020
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
CORL 2020
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
CORL 2020
Task-Relevant Adversarial Imitation Learning
CORL 2020
Accelerating Reinforcement Learning with Learned Skill Priors
CORL 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
NIPS 2020
Learning a Decentralized Multi-Arm Motion Planner
CORL 2020
From pixels to legs: Hierarchical learning of quadruped locomotion
CORL 2020
Value Preserving State-Action Abstractions
AISTATS 2020
Conservative Exploration in Reinforcement Learning
AISTATS 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
CORL 2020
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation
EMNLP 2020
Interferobot: aligning an optical interferometer by a reinforcement learning agent
NIPS 2020
MOPO: Model-based Offline Policy Optimization
NIPS 2020
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints
NIPS 2020
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
NIPS 2020
Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints
RSS 2020
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
RSS 2020
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