Reinforcement Learning
3,118 papers
Papers per year
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11
18
24
14
22
28
34
28
24
17
23
79
183
257
291
347
339
336
495
464
83
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Papers
Data-Efficient Reinforcement Learning for Malaria Control
IJCAI 2021
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
AAAI 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
AAAI 2021
Deciding What to Learn: A Rate-Distortion Approach
ICML 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
ICML 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
NeurIPS 2021
Deep Radial-Basis Value Functions for Continuous Control
AAAI 2021
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract)
AAAI 2021
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
AAAI 2021
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding
AAAI 2021
Detecting Rewards Deterioration in Episodic Reinforcement Learning
ICML 2021
Discovering symbolic policies with deep reinforcement learning
ICML 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching
CVPR 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
ICML 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
IJCAI 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
ICML 2021
Doubly Robust Thompson Sampling with Linear Payoffs
NeurIPS 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
ICML 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
NeurIPS 2021
Dynamic Balancing for Model Selection in Bandits and RL
ICML 2021
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning
IJCAI 2021
Efficient PAC Reinforcement Learning in Regular Decision Processes
IJCAI 2021
Efficient Wasserstein Natural Gradients for Reinforcement Learning
ICLR 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
ICML 2021
Emergent Prosociality in Multi-Agent Games Through Gifting
IJCAI 2021