Observation Space Matters: Benchmark and Optimization Algorithm

2 November 2020

Papers citing "Observation Space Matters: Benchmark and Optimization Algorithm"

8 / 8 papers shown

Title
A General Approach of Automated Environment Design for Learning the Optimal Power Flow Thomas Wolgast Astrid Nieße AI4CE 18 0 0 01 May 2025
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution Zen Kit Heng Zimeng Zhao Tianhao Wu Yuanfei Wang Mingdong Wu Yangang Wang Hao Dong 37 0 0 10 Apr 2025
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 74 0 0 06 Oct 2024
Learning to Navigate Sidewalks in Outdoor Environments Maks Sorokin Jie Tan Karen Liu Sehoon Ha 26 41 0 12 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 175 494 0 08 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015