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
'10
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'25
Papers
Guiding Abstractive Dialogue Summarization with Content Planning
EMNLP 2022
Habitat-Web: Learning Embodied Object-Search Strategies From Human Demonstrations at Scale
CVPR 2022
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies
COLT 2022
How to Reduce Action Space for Planning Domains? (Student Abstract)
AAAI 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
NeurIPS 2022
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
CoRL 2022
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
ICML 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
NeurIPS 2022
Imitating Past Successes can be Very Suboptimal
NeurIPS 2022
Imitation Learning by Reinforcement Learning
ICLR 2022
Improved Algorithms for Misspecified Linear Markov Decision Processes
AISTATS 2022
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
ICML 2022
Improving Policy Learning via Language Dynamics Distillation
NeurIPS 2022
Improving Policy Optimization with Generalist-Specialist Learning
ICML 2022
Independent Natural Policy Gradient always converges in Markov Potential Games
AISTATS 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
ICML 2022
Inductive synthesis of finite-state controllers for POMDPs
UAI 2022
Inferring Lexicographically-Ordered Rewards from Preferences
AAAI 2022
Inferring Rewards from Language in Context
ACL 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
CoRL 2022
In-Hand Object Rotation via Rapid Motor Adaptation
CoRL 2022
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
NeurIPS 2022
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
JMLR 2022
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
ICLR 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
NeurIPS 2022