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Value Iteration

306 directly classified papers

Papers per year

Papers

Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020
Multi-step Greedy Reinforcement Learning Algorithms ICML 2020
Improved Vector Pruning in Exact Algorithms for Solving POMDPs UAI 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning NIPS 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs NIPS 2020
Value-driven Hindsight Modelling NIPS 2020
POMDPs in Continuous Time and Discrete Spaces NIPS 2020
Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020
Multi-agent active perception with prediction rewards NIPS 2020
Error Bounds of Imitating Policies and Environments NIPS 2020
Reinforcement Learning with Feedback Graphs NIPS 2020
Online Planning with Lookahead Policies 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
Optimistic robust linear quadratic dual control L4DC 2020
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NIPS 2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity NIPS 2020
Forethought and Hindsight in Credit Assignment NIPS 2020
Sample-efficient Cross-Entropy Method for Real-time Planning CORL 2020
Naive Exploration is Optimal for Online LQR ICML 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