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Reinforcement Learning
2932 directly classified papers
Papers per year
2003: 1
2006: 11
2007: 18
2008: 23
2009: 14
2010: 22
2011: 24
2012: 34
2013: 26
2014: 24
2015: 14
2016: 23
2017: 79
2018: 182
2019: 255
2020: 284
2021: 333
2022: 319
2023: 315
2024: 457
2025: 419
2026: 55
Papers
Receding Horizon Curiosity
CORL 2019
A Divergence Minimization Perspective on Imitation Learning Methods
CORL 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
CORL 2019
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning
CORL 2019
Quasi-Newton Trust Region Policy Optimization
CORL 2019
MAME : Model-Agnostic Meta-Exploration
CORL 2019
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
CORL 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
CORL 2019
Learning Compact Models for Planning with Exogenous Processes
CORL 2019
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
CORL 2019
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
CORL 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
CORL 2019
Leveraging exploration in off-policy algorithms via normalizing flows
CORL 2019
Model-Based Planning with Energy-Based Models
CORL 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
CORL 2019
Perceptual Attention-based Predictive Control
CORL 2019
Regularizing Model-Based Planning with Energy-Based Models
CORL 2019
Generating Formality-Tuned Summaries Using Input-Dependent Rewards
CONLL 2019
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices
IJCAI 2019
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies
IJCAI 2019
Controllable Neural Story Plot Generation via Reward Shaping
IJCAI 2019
A Survey of Reinforcement Learning Informed by Natural Language
IJCAI 2019
Recent Advances in Imitation Learning from Observation
IJCAI 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
IJCAI 2019
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
IJCAI 2019
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