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
281
291
346
433
377
62
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'25
Papers
Online Reinforcement Learning for Mixed Policy Scopes
NeurIPS 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
NeurIPS 2022
On-Robot Learning With Equivariant Models
CoRL 2022
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
ICLR 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
AISTATS 2022
On the Convergence Rates of Policy Gradient Methods
JMLR 2022
On the Expressivity of Markov Reward (Extended Abstract)
IJCAI 2022
On the Generalization of Representations in Reinforcement Learning
AISTATS 2022
On the Global Optimum Convergence of Momentum-based Policy Gradient
AISTATS 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
ICML 2022
On the (In)Tractability of Reinforcement Learning for LTL Objectives
IJCAI 2022
On the Sample Complexity of Stability Constrained Imitation Learning
L4DC 2022
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
UAI 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration
ICML 2022
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints
L4DC 2022
Optimal Transport for Stationary Markov Chains via Policy Iteration
JMLR 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
ICML 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
NeurIPS 2022
Pareto Policy Adaptation
ICLR 2022
PDSketch: Integrated Domain Programming, Learning, and Planning
NeurIPS 2022
PG3: Policy-Guided Planning for Generalized Policy Generation
IJCAI 2022
Planning with Participation Constraints
AAAI 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
NeurIPS 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
JMLR 2022
Policy Gradient Method For Robust Reinforcement Learning
ICML 2022