Policy Learning
2,633 papers
Papers per year
6
1
1
12
11
14
10
24
16
26
26
27
25
27
61
122
198
236
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291
346
433
377
62
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'25
Papers
Characterizing the Gap Between Actor-Critic and Policy Gradient
ICML 2021
CLAIM: curriculum learning policy for influence maximization in unknown social networks
UAI 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
NeurIPS 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
AAAI 2021
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
NeurIPS 2021
Confidence-Budget Matching for Sequential Budgeted Learning
ICML 2021
Constrained Risk-Averse Markov Decision Processes
AAAI 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts
UAI 2021
Contingency-aware influence maximization: A reinforcement learning approach
UAI 2021
Coordinated Proximal Policy Optimization
NeurIPS 2021
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
NeurIPS 2021
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
NeurIPS 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
ICML 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
ICML 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning
ACML 2021
Curriculum Offline Imitating Learning
NeurIPS 2021
Data-Efficient Reinforcement Learning for Malaria Control
IJCAI 2021
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
ICML 2021
Deep Radial-Basis Value Functions for Continuous Control
AAAI 2021
Deep Reinforcement Learning with Hierarchical Structures
IJCAI 2021
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
ICML 2021
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
AAAI 2021
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
NeurIPS 2021
Discovering a set of policies for the worst case reward
ICLR 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching
CVPR 2021