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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
Contextual Imagined Goals for Self-Supervised Robotic Learning
CORL 2019
Regularizing Model-Based Planning with Energy-Based Models
CORL 2019
On-Policy Robot Imitation Learning from a Converging Supervisor
CORL 2019
To Follow or not to Follow: Selective Imitation Learning from Observations
CORL 2019
Data Efficient Reinforcement Learning for Legged Robots
CORL 2019
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
CORL 2019
Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real
CORL 2019
Learning to Paint With Model-Based Deep Reinforcement Learning
ICCV 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
ICCV 2019
Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction
INTERSPEECH 2019
Ego-Pose Estimation and Forecasting As Real-Time PD Control
ICCV 2019
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment
CORL 2018
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
CORL 2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
CORL 2018
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management
EMNLP 2018
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning
EMNLP 2018
AirDialogue: An Environment for Goal-Oriented Dialogue Research
EMNLP 2018
Subgoal Discovery for Hierarchical Dialogue Policy Learning
EMNLP 2018
Learning a Policy for Opportunistic Active Learning
EMNLP 2018
Visual Reinforcement Learning with Imagined Goals
NIPS 2018
Simple random search of static linear policies is competitive for reinforcement learning
NIPS 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
NIPS 2018
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
CVPR 2018
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
ACL 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
NIPS 2018
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