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bellman equation

42 papers

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Co-occurring keywords

reinforcement learning (4352) markov decision process (790) value function (295) off-policy learning (228) distributional reinforcement learning (72) dynamic programming (274) optimal control (218) policy gradient (520) value iteration (162) model-based reinforcement learning (415)

Papers

Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model NIPS 2024
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024
Aligning Large Language Models with Representation Editing: A Control Perspective NIPS 2024
On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024
Formally Verified Solution Methods for Markov Decision Processes AAAI 2023
Model-Free Robust Average-Reward Reinforcement Learning ICML 2023
A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023
A finite-sample analysis of multi-step temporal difference estimates L4DC 2023
Model-Based Uncertainty in Value Functions AISTATS 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 2023
Robust Average-Reward Markov Decision Processes AAAI 2023
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs NIPS 2023
Branching Reinforcement Learning ICML 2022
A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022
Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NIPS 2021
GMAC: A Distributional Perspective on Actor-Critic Framework ICML 2021
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits IJCAI 2021
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NIPS 2021