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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
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Papers (including subtopics)

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CORL 2019
Macro-Action-Based Deep Multi-Agent Reinforcement Learning CORL 2019
Active Domain Randomization CORL 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CORL 2019
Dynamic Experience Replay CORL 2019
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments CORL 2019
Learning Parametric Constraints in High Dimensions from Demonstrations CORL 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CORL 2019
Understanding Teacher Gaze Patterns for Robot Learning CORL 2019
A Divergence Minimization Perspective on Imitation Learning Methods CORL 2019
Receding Horizon Curiosity CORL 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots CORL 2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments CORL 2019
Certified Adversarial Robustness for Deep Reinforcement Learning CORL 2019
Asynchronous Methods for Model-Based Reinforcement Learning CORL 2019
PyRoboLearn: A Python Framework for Robot Learning Practitioners CORL 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CORL 2019
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight CORL 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning CORL 2019
Surveys without Questions: A Reinforcement Learning Approach AAAI 2019
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs AAAI 2019