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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49
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51
83
216
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722
966
1,128
1,156
1,384
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362
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Papers (including subtopics)
Command-Driven Articulated Object Understanding and Manipulation
CVPR 2023
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
IJCAI 2023
Complementary Attention for Multi-Agent Reinforcement Learning
ICML 2023
Complex Contagion Influence Maximization: A Reinforcement Learning Approach
IJCAI 2023
Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control
NeurIPS 2023
Composing Efficient, Robust Tests for Policy Selection
UAI 2023
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
NeurIPS 2023
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable
AAAI 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
ICML 2023
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
NeurIPS 2023
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach
L4DC 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks
AAAI 2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation
RSS 2023
Conditional abstraction trees for sample-efficient reinforcement learning
UAI 2023
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning
UAI 2023
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
NeurIPS 2023
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
ICLR 2023
Conservative Offline Policy Adaptation in Multi-Agent Games
NeurIPS 2023
Conservative State Value Estimation for Offline Reinforcement Learning
NeurIPS 2023
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
NeurIPS 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
ACL 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
NeurIPS 2023
Constrained Reinforcement Learning in Hard Exploration Problems
AAAI 2023