Co-occurring keywords · papers mentioning both
Papers
A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward
ICML 2025
On Shallow Planning Under Partial Observability
AAAI 2025
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
JMLR 2025
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
ICML 2025
Imitation Learning from Observation with Automatic Discount Scheduling
ICLR 2024
On the uniqueness of solution for the Bellman equation of LTL objectives
L4DC 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
NeurIPS 2024
Correcting discount-factor mismatch in on-policy policy gradient methods
ICML 2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
NeurIPS 2023
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
NeurIPS 2023
Robust Average-Reward Markov Decision Processes
AAAI 2023
On the Role of Discount Factor in Offline Reinforcement Learning
ICML 2022
PID Accelerated Value Iteration Algorithm
ICML 2021
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract)
AAAI 2021
Taylor Expansion of Discount Factors
ICML 2021
Discount Factor as a Regularizer in Reinforcement Learning
ICML 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
AISTATS 2020
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
AAAI 2019
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
NeurIPS 2019
Per-Decision Option Discounting
ICML 2019
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
AAAI 2019
Separating value functions across time-scales
ICML 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
NeurIPS 2019
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
AISTATS 2016
Optimistic Gittins Indices
NeurIPS 2016