planning horizon

Language Agents Meet Causality -- Bridging LLMs and Causal World Models ICLR 2025 On Shallow Planning Under Partial Observability AAAI 2025 Massively Scalable Inverse Reinforcement Learning in Google Maps ICLR 2024 Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search ICLR 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023 Reference-Based POMDPs NeurIPS 2023 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023 Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies COLT 2022 Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021 Near Optimal Reward-Free Reinforcement Learning ICML 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021 Is Long Horizon RL More Difficult Than Short Horizon RL? NeurIPS 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020 Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon COLT 2018 TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING ICLR 2018 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011