conftrace_

markov decision process

790 papers

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Also known as

MDP

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) sample complexity (1169) policy optimization (657) value iteration (162) online learning (1777) function approximation (319) optimal policy (93) deep reinforcement learning (903) value function (295)

Papers

Collapsing Bandits and Their Application to Public Health Intervention NIPS 2020
How do fair decisions fare in long-term qualification? NIPS 2020
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020
Reinforcement Learning with Non-Markovian Rewards AAAI 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020
Conservative Exploration in Reinforcement Learning AISTATS 2020
Value Preserving State-Action Abstractions AISTATS 2020
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions AAAI 2020
Deep imitation learning for molecular inverse problems NIPS 2019
Game Design for Eliciting Distinguishable Behavior NIPS 2019
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NIPS 2019
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NIPS 2019
Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding AAAI 2019
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019