Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?

1 May 2020

Papers citing "Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?"

9 / 9 papers shown

Title
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints Kazumi Kasaura 63 0 0 02 Jul 2024
Settling the Sample Complexity of Online Reinforcement Learning Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 143 23 0 25 Jul 2023
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin F. Yang Mengdi Wang OffRL GP 55 285 0 24 May 2019
Provably efficient RL with Rich Observations via Latent State Decoding S. Du A. Krishnamurthy Nan Jiang Alekh Agarwal Miroslav Dudík John Langford OffRL 55 230 0 25 Jan 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 95 275 0 01 Jan 2019
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes Aaron Sidford Mengdi Wang X. Wu Yinyu Ye 52 125 0 27 Oct 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 69 308 0 22 Mar 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 76 259 0 01 Jul 2016
Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization Zheng Wen Benjamin Van Roy 50 42 0 18 Jul 2013