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Deep Learning
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Reinforcement Learning
1263 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 3
2009: 2
2010: 1
2011: 2
2012: 3
2013: 2
2014: 3
2015: 2
2016: 8
2017: 44
2018: 95
2019: 134
2020: 123
2021: 131
2022: 143
2023: 127
2024: 194
2025: 240
2026: 3
Papers
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
NIPS 2020
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations
RSS 2020
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
RSS 2020
Residual Policy Learning for Shared Autonomy
RSS 2020
Learning Memory-Based Control for Human-Scale Bipedal Locomotion
RSS 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
CORL 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
CORL 2020
Attention-Privileged Reinforcement Learning
CORL 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
CORL 2020
From pixels to legs: Hierarchical learning of quadruped locomotion
CORL 2020
Augmenting GAIL with BC for sample efficient imitation learning
CORL 2020
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
L4DC 2020
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
L4DC 2020
Periodic Q-Learning
L4DC 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
AAAI 2020
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract)
AAAI 2020
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract)
AAAI 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract)
AAAI 2020
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract)
AAAI 2020
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition
AAAI 2020
Deep Reinforcement Learning for Active Human Pose Estimation
AAAI 2020
Learning from Interventions Using Hierarchical Policies for Safe Learning
AAAI 2020
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments
AAAI 2020
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation
AAAI 2020
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models
AAAI 2020
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