AI Paper Atlas

Research map / Bandits and online learning / RL theory and MDPs

Model-Based Reinforcement Learning with Value-Targeted Regression

ICML 2020 · Bandits and online learning › RL theory and MDPs · approach: Regret bounds with function approximation · 63 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use value-targeted regression with optimistic planning instead of next-state frequency estimation with optimistic planningUCRL-VTR vs. UC-MatrixRL · RiverSwimcumulative regretHelped
Add optimistic planning to value-targeted regression rather than using epsilon-greedy exploration (ablation)Value-targeted regression · RiverSwimcumulative regretHelped
Add optimistic planning to value-targeted regression rather than using epsilon-greedy exploration (ablation)Value-targeted regression · WideTreecumulative regretHelped
Replace value-targeted regression with next-state frequency estimation while retaining optimism (ablation)Optimistic model-based RL · RiverSwimcumulative regretHurt
Remove optimistic planning from value-targeted regression and use epsilon-greedy exploration (ablation)UCRL-VTR · WideTreecumulative regretHurt
Replace value-targeted regression with next-state frequency estimation while using epsilon-greedy exploration (ablation)Epsilon-greedy model-based RL · RiverSwimweighted model errorMixed
Use value-targeted regression without optimistic planning (ablation)EG-VTR · WideTreeweighted model errorNo clear effect
Use value-targeted regression rather than next-state frequency estimation (ablation)Epsilon-greedy model-based RL · WideTreecumulative regretNo clear effect
Use value-targeted regression with optimistic planning, even if the learned transition model remains inaccurateUCRL-VTR · WideTreecumulative regretHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy