conftrace_

value iteration

162 papers

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Also known as

VI

Co-occurring keywords

reinforcement learning (4352) markov decision process (790) regret bound (1926) offline reinforcement learning (492) function approximation (319) dynamic programming (274) policy iteration (99) sample complexity (1169) model-based reinforcement learning (415) policy learning (702)

Papers

Operator Splitting Value Iteration NIPS 2022
Hardness in Markov Decision Processes: Theory and Practice NIPS 2022
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NIPS 2022
Zero-Sum Stochastic Stackelberg Games NIPS 2022
Corruption-robust Offline Reinforcement Learning AISTATS 2022
Generalised Policy Improvement with Geometric Policy Composition ICML 2022
Efficient Reinforcement Learning with Prior Causal Knowledge CLEAR 2022
Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity NAACL 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress NIPS 2022
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps CVPR 2022
Risk-Aware Stochastic Shortest Path AAAI 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning NIPS 2022
Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021
Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021
Robust Value Iteration for Continuous Control Tasks RSS 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021
Muesli: Combining Improvements in Policy Optimization ICML 2021
When to stop value iteration: stability and near-optimality versus computation L4DC 2021
Solving Partially Observable Stochastic Shortest-Path Games IJCAI 2021
No-Press Diplomacy from Scratch NIPS 2021
Quantum algorithms for reinforcement learning with a generative model ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
Reconciling Rewards with Predictive State Representations IJCAI 2021