conftrace_

policy iteration

99 papers

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Also known as

PI

Co-occurring keywords

reinforcement learning (4352) markov decision process (790) value function (295) value iteration (162) value function approximation (100) approximate dynamic programming (31) function approximation (319) deep reinforcement learning (903) dynamic programming (274) convergence analysis (395)

Papers

Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations AAAI 2026
Proactive Constrained Policy Optimization with Preemptive Penalty AAAI 2026
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling IJCAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes JMLR 2025
Formally Verified Approximate Policy Iteration AAAI 2025
Risk-averse Total-reward MDPs with ERM and EVaR AAAI 2025
Pontryagin neural operator for solving general-sum differential games with parametric state constraints L4DC 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023
Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023
Supported Value Regularization for Offline Reinforcement Learning NIPS 2023
Large Language Models can Implement Policy Iteration NIPS 2023
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) AAAI 2023
Multi-Agent Learning from Learners ICML 2023
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms NIPS 2023
Mutual-Information Regularized Multi-Agent Policy Iteration NIPS 2023
Efficient local planning with linear function approximation ALT 2022
Generalized Data Distribution Iteration ICML 2022
ARC - Actor Residual Critic for Adversarial Imitation Learning CORL 2022
Chaining Value Functions for Off-Policy Learning AAAI 2022
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs NIPS 2022
Optimal Transport for Stationary Markov Chains via Policy Iteration JMLR 2022
Asymmetric DQN for partially observable reinforcement learning UAI 2022