Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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27
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20
43
49
59
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51
83
216
419
722
966
1,128
1,156
1,384
1,648
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362
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Papers (including subtopics)
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
ICML 2022
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods
IJCAI 2022
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
NeurIPS 2022
Leveraging Fully Observable Policies for Learning under Partial Observability
CoRL 2022
Lexicographic Multi-Objective Reinforcement Learning
IJCAI 2022
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization
AAAI 2022
Lifting in multi-agent systems under uncertainty
UAI 2022
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
ICLR 2022
LISA: Learning Interpretable Skill Abstractions from Language
NeurIPS 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
NeurIPS 2022
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
AAAI 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
NeurIPS 2022
Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon
JMLR 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
NeurIPS 2022
Low-Rank Modular Reinforcement Learning via Muscle Synergy
NeurIPS 2022
Ludus: An Optimization Framework to Balance Auto Battler Cards
AAAI 2022
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
CoRL 2022
Maillard Sampling: Boltzmann Exploration Done Optimally
AISTATS 2022
Making Linear MDPs Practical via Contrastive Representation Learning
ICML 2022
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems
AAAI 2022
Marginalized Operators for Off-policy Reinforcement Learning
AISTATS 2022
Marginal MAP estimation for inverse RL under occlusion with observer noise
UAI 2022
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes
IJCAI 2022
Markovian Interference in Experiments
NeurIPS 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
ICML 2022