Co-occurring keywords · papers mentioning both
Papers
Model-Based Offline Meta-Reinforcement Learning with Regularization
ICLR 2022
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
ICML 2022
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
AISTATS 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs
NeurIPS 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
NeurIPS 2022
Online Apprenticeship Learning
AAAI 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
AISTATS 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
Planning with Participation Constraints
AAAI 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
NeurIPS 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
ICML 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
NeurIPS 2022
Policy Optimization for Stochastic Shortest Path
COLT 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
NeurIPS 2022
Policy Optimization with Linear Temporal Logic Constraints
NeurIPS 2022
Policy Optimization with Stochastic Mirror Descent
AAAI 2022
Primal-Dual Stochastic Mirror Descent for MDPs
AISTATS 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
AISTATS 2022
Proximal Point Imitation Learning
NeurIPS 2022
Redeeming intrinsic rewards via constrained optimization
NeurIPS 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
ICML 2022
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
ICLR 2022
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
ICLR 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective
CoRL 2022