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Value Iteration

356 papers

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Papers

Value-driven Hindsight Modelling NIPS 2020
POMDPs in Continuous Time and Discrete Spaces NIPS 2020
Multi-agent active perception with prediction rewards NIPS 2020
Online Planning with Lookahead Policies NIPS 2020
Error Bounds of Imitating Policies and Environments NIPS 2020
Reinforcement Learning with Feedback Graphs NIPS 2020
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting NIPS 2020
Efficient Planning in Large MDPs with Weak Linear Function Approximation NIPS 2020
Sample-efficient Cross-Entropy Method for Real-time Planning CORL 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020
Corpus-Level End-to-End Exploration for Interactive Systems AAAI 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020
Transfer Value Iteration Networks AAAI 2020
Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020
Off-Policy Evaluation in Partially Observable Environments AAAI 2020
Task Scoping for Efficient Planning in Open Worlds (Student Abstract) AAAI 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020
Value Preserving State-Action Abstractions AISTATS 2020
Bayesian Reinforcement Learning via Deep, Sparse Sampling AISTATS 2020
Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020