conftrace_

value function approximation

100 papers

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Also known as

VFA

Co-occurring keywords

reinforcement learning (4352) value function (295) markov decision process (790) policy iteration (99) off-policy learning (228) temporal difference learning (149) deep reinforcement learning (903) regret bound (1926) representation learning (6206) approximate dynamic programming (31)

Papers

Neur2BiLO: Neural Bilevel Optimization NIPS 2024
Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees L4DC 2024
Oracle-Efficient Reinforcement Learning for Max Value Ensembles NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
The Power of Resets in Online Reinforcement Learning NIPS 2024
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation ICML 2023
Posterior Sampling for Deep Reinforcement Learning ICML 2023
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization ICML 2023
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability ICML 2023
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient NIPS 2023
Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning IJCAI 2023
Learning Expected Emphatic Traces for Deep RL AAAI 2022
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022
Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021