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Reinforcement Learning
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Methods
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Deep RL
3,861 papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
CORL 2020
Attention-Privileged Reinforcement Learning
CORL 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
CORL 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
CORL 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
CORL 2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
CORL 2020
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
CORL 2020
Contrastive Variational Reinforcement Learning for Complex Observations
CORL 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
CORL 2020
Sample-efficient Cross-Entropy Method for Real-time Planning
CORL 2020
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays
CORL 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
CORL 2020
Learning to Walk in the Real World with Minimal Human Effort
CORL 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
CORL 2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
CORL 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
CORL 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
CORL 2020
Deep Reactive Planning in Dynamic Environments
CORL 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
CORL 2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
CORL 2020
Chaining Behaviors from Data with Model-Free Reinforcement Learning
CORL 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
CORL 2020
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
AAAI 2020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
AAAI 2020
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning
AAAI 2020
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