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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 Hybrid Control Barrier Functions from Data
CORL 2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
CORL 2020
Learning Interactively to Resolve Ambiguity in Reference Frame Selection
CORL 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
CORL 2020
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer
CORL 2020
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
CORL 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
CORL 2020
Flightmare: A Flexible Quadrotor Simulator
CORL 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
IJCAI 2020
Learning to Walk in the Real World with Minimal Human Effort
CORL 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
CORL 2020
Sim-to-Real Transfer for Vision-and-Language Navigation
CORL 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
CORL 2020
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
IJCAI 2020
Robust Regression for Safe Exploration in Control
L4DC 2020
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract)
AAAI 2020
Modular Robot Design Synthesis with Deep Reinforcement Learning
AAAI 2020
Learning from Interventions Using Hierarchical Policies for Safe Learning
AAAI 2020
Semantic Attachments for HTN Planning
AAAI 2020
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
IJCAI 2020
Generative Exploration and Exploitation
AAAI 2020
Proximal Distilled Evolutionary Reinforcement Learning
AAAI 2020
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
AAAI 2020
Just Ask: An Interactive Learning Framework for Vision and Language Navigation
AAAI 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
NIPS 2020
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