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Policy Learning

2068 directly classified papers

Papers per year

Papers

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning ICML 2022
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States JMLR 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning ICML 2022
Admissible Policy Teaching through Reward Design AAAI 2022
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation ICML 2022
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints ICML 2022
Optimal Transport for Stationary Markov Chains via Policy Iteration JMLR 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces ICML 2022
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning JMLR 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems JMLR 2022
Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon JMLR 2022
Planning with Participation Constraints AAAI 2022
Reinforcement Learning with Stochastic Reward Machines AAAI 2022
Goal Recognition as Reinforcement Learning AAAI 2022
Inferring Lexicographically-Ordered Rewards from Preferences AAAI 2022
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022
Dynamic Dialogue Policy for Continual Reinforcement Learning COLING 2022
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022
A general sample complexity analysis of vanilla policy gradient AISTATS 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions AISTATS 2022