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value function

295 papers

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Also known as

V FUNCTION

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy optimization (657) markov decision process (790) offline reinforcement learning (492) temporal difference learning (149) sample efficiency (472) function approximation (319) off-policy learning (228) model-based reinforcement learning (415)

Papers

Importance Resampling for Off-policy Prediction NIPS 2019
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NIPS 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NIPS 2019
Scale-free adaptive planning for deterministic dynamics & discounted rewards ICML 2019
Frontier Search and Plan Reconstruction in Oversubscription Planning AAAI 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
The Value Function Polytope in Reinforcement Learning ICML 2019
A neurally plausible model learns successor representations in partially observable environments NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019
Compact Representation of Value Function in Partially Observable Stochastic Games IJCAI 2019
Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019
Deep Value Model Predictive Control CORL 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
The Expected-Length Model of Options IJCAI 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019
Generation of Policy-Level Explanations for Reinforcement Learning AAAI 2019
Surveys without Questions: A Reinforcement Learning Approach AAAI 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds ICML 2019
Separating value functions across time-scales ICML 2019
Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs AAAI 2019
Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019
Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions NIPS 2018
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018