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Reinforcement Learning, Bit by Bit
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-27645-3_11openalex-snapshot
Bayesian Reinforcement Learning
inferredcites →https://doi.org/10.1007/bf00115009openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1016/0196-8858(85)90002-8openalex-snapshot
Asymptotically efficient adaptive allocation rules
inferredcites →https://doi.org/10.1016/s0019-9958(77)90354-0openalex-snapshot
An adaptive optimal controller for discrete-time Markov environments
inferredcites →https://doi.org/10.1016/s0898-1221(00)00089-4openalex-snapshot
Some upper bounds for relative entropy and applications
inferredcites →https://doi.org/10.1023/a:1013689704352openalex-snapshot
Finite-time Analysis of the Multiarmed Bandit Problem
inferredcites →https://doi.org/10.1023/a:1017984413808openalex-snapshot
Near-Optimal Reinforcement Learning in Polynomial Time
inferredcites →https://doi.org/10.1023/a:1022624705476openalex-snapshot
Practical Issues in Temporal Difference Learning
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/s41586-020-03051-4openalex-snapshot
Mastering Atari, Go, chess and shogi by planning with a learned model
inferredcites →https://doi.org/10.1093/biomet/25.3-4.285openalex-snapshot
ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
inferredcites →https://doi.org/10.1093/biomet/66.3.561openalex-snapshot
A Dynamic Allocation Index for the Discounted Multiarmed Bandit Problem
inferredcites →https://doi.org/10.1109/tsmc.1983.6313077openalex-snapshot
Neuronlike adaptive elements that can solve difficult learning control problems
inferredcites →https://doi.org/10.1162/neco.1994.6.2.215openalex-snapshot
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
inferredcites →https://doi.org/10.1214/aoms/1177704255openalex-snapshot
A Definition of Subjective Probability
inferredcites →https://doi.org/10.1257/aer.20181897openalex-snapshot
Quantifying Information and Uncertainty
inferredcites →https://doi.org/10.1287/moor.2014.0650openalex-snapshot
Learning to Optimize via Posterior Sampling
inferredcites →https://doi.org/10.1287/opre.1040.0145openalex-snapshot
An Adaptive Sampling Algorithm for Solving Markov Decision Processes
inferredcites →https://doi.org/10.1287/opre.1110.0999openalex-snapshot
The Knowledge Gradient Algorithm for a General Class of Online Learning Problems
inferredcites →https://doi.org/10.1287/opre.2017.1663openalex-snapshot
Learning to Optimize via Information-Directed Sampling
inferredcites →https://doi.org/10.1561/2200000049openalex-snapshot
Bayesian Reinforcement Learning: A Survey
inferredcites →https://doi.org/10.1561/9781601986276openalex-snapshot
Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
inferredcites →https://doi.org/10.1609/aaai.v32i1.11751openalex-snapshot
Information Directed Sampling for Stochastic Bandits With Graph Feedback
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.artint.2025.104392openalex-snapshot
Provably efficient information-directed sampling algorithms for multi-agent reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.123954openalex-snapshot
Fatigue inspection planning of offshore wind turbines: Deep reinforcement learning with information-directed exploration
inferred← citeshttps://doi.org/10.1016/j.sysconle.2024.105751openalex-snapshot
Reinforcement learning in non-Markovian environments
inferred← citeshttps://doi.org/10.1088/1741-4326/ad22f5openalex-snapshot
Automated experimental design of safe rampdowns via probabilistic machine learning
inferred← citeshttps://doi.org/10.1109/cdc56724.2024.10886046openalex-snapshot
Agent-state based policies in POMDPs: Beyond belief-state MDPs
inferred← citeshttps://doi.org/10.1109/itw62417.2025.11240440openalex-snapshot
Information-Theoretic Minimax Regret Upper Bounds for Reinforcement Learning Problems
inferred← citeshttps://doi.org/10.1137/22m1536650openalex-snapshot
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search
inferred← citeshttps://doi.org/10.1162/opmi_a_00132openalex-snapshot
Bayesian Reinforcement Learning With Limited Cognitive Load
inferred← citeshttps://doi.org/10.1214/25-sts1001openalex-snapshot
Sample-Based Planning and Learning with Function Approximation
inferred← citeshttps://doi.org/10.14209/jcis.2023.15openalex-snapshot
Reinforcement Learning-based Wi-Fi Contention Window Optimization
inferred← citeshttps://doi.org/10.1561/2200000116openalex-snapshot
Continual Learning as Computationally Constrained Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/a16120532openalex-snapshot
A Learnheuristic Algorithm for the Capacitated Dispersion Problem under Dynamic Conditions
inferred← citeshttps://doi.org/10.3390/e28010001openalex-snapshot
Decision, Inference, and Information: Formal Equivalences Under Active Inference
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