Pseudoxanthoma Elasticum With Detailed Analyses of Coronary Artery Disease by Tomohiro Fujisaki, MD, Masanobu Ishii, MD, PhD, MPH, Bengo Atari, MD, PhD, Tomoyo Matsumura, MD, PhD, Kenichi Tsujita, MD, PhD

Get full text

Resources, demography and motives driving Organic Farming by CHANDRE GOWDA M J, RANDHIR SINGH, SREENATH DIXIT, D V SRINIVASA REDDY

Get full text

Beating the world's best at Super Smash Bros. with deep reinforcement learning by Firoiu, Vlad

Get full text

Value Iteration Networks With Gated Summarization Module by Jinyu Cai, Jialong Li, Mingyue Zhang, Kenji Tei

“…We conduct experiments on 2D grid world path-finding problems and the Atari Mr. Pac-man environment, demonstrating that GS-VIN outperforms the baseline in terms of single-step accuracy, planning success rate, and overall performance across different map sizes. …”
Get full text

Reward shaping using directed graph convolution neural networks for reinforcement learning and games by Jianghui Sang, Jianghui Sang, Zaki Ahmad Khan, Hengfu Yin, Yupeng Wang

“…Preliminary experiments demonstrate that the proposed φDCN exhibits a substantial improvement compared to other competing algorithms on both Atari and MuJoCo benchmarks.…”
Get full text

Trends in the Tissue Culture Techniques and the Synthesis of Bioactive Compounds in <i>Eurycoma longifolia</i> Jack—Current Status and Future Perspectives by Sani Sale, Sreeramanan Subramaniam, Mohamad Fadhli Mad’ Atari

Get full text

Cooperate to compete : composable planning and inference in multi-agent reinforcement learning by Shum, Michael M

Get full text

TreeQN and ATreeC: differentiable tree planning for deep reinforcement learning by Farquhar, G, Rocktaeschel, T, Igl, M, Whiteson, S

“…We show that TreeQN and ATreeC outperform n-step DQN and A2C on a box-pushing task, as well as n-step DQN and value prediction networks (Oh et al., 2017) on multiple Atari games. Furthermore, we present ablation studies that demonstrate the effect of different auxiliary losses on learning transition models.…”

Disinfection of SARS-CoV-2 by UV-LED 267 nm: comparing different variants by Nofar Atari, Hadas Mamane, Alon Silberbush, Neta Zuckerman, Michal Mandelboim, Yoram Gerchman

Get full text

The Force Is Strong with This One (but Not That One): What Makes a Successful Star Wars Video Game Adaptation? by Matthew Barr

“…From the 1982 release of <i>The Empire Strikes Back</i> on the Atari 2600 to 2019’s <i>Jedi: Fallen Order</i>, around one hundred officially licensed <i>Star Wars</i> games have been published to date. …”
Get full text

Using livelihoods to support primary health care for South Sudanese refugees in Kiryandongo, Uganda by Dominic Odwa Atari, Kevin McKague

Get full text

Task-Based Visual Attention for Continually Improving the Performance of Autonomous Game Agents by Eren Ulu, Tolga Capin, Bora Çelikkale, Ufuk Celikcan

“…In the evaluation of our agent’s performance across eight games in the Atari 2600 domain, which vary in complexity, we demonstrate that our model surpasses the baseline DQN agent. …”
Get full text

Self-Adaptive Priority Correction for Prioritized Experience Replay by Hongjie Zhang, Cheng Qu, Jindou Zhang, Jing Li

“…The conducted experiments on various games of Atari 2600 with Double Deep Q-Network and MuJoCo with Deep Deterministic Policy Gradient demonstrate that Imp-PER improves the data utilization and final policy quality on discrete states and continuous states tasks without increasing the computational cost.…”
Get full text

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning by Everett, Michael, Lutjens, Bjorn, How, Jonathan P

“…The approach is demonstrated on a deep Q-network (DQN) policy and is shown to increase robustness to noise and adversaries in pedestrian collision avoidance scenarios, a classic control task, and Atari Pong. This article extends our prior work with new performance guarantees, extensions to other reinforcement learning algorithms, expanded results aggregated across more scenarios, an extension into scenarios with adversarial behavior, comparisons with a more computationally expensive method, and visualizations that provide intuition about the robustness algorithm.…”
Get full text

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning by Everett, Michael F, Lutjens, Bjorn, How, Jonathan P

“…The approach is demonstrated on a deep Q-network (DQN) policy and is shown to increase robustness to noise and adversaries in pedestrian collision avoidance scenarios, a classic control task, and Atari Pong. This article extends our prior work with new performance guarantees, extensions to other reinforcement learning algorithms, expanded results aggregated across more scenarios, an extension into scenarios with adversarial behavior, comparisons with a more computationally expensive method, and visualizations that provide intuition about the robustness algorithm.…”
Get full text

Combining Functional and Automata Synthesis to Learn Causal Reactive Programs by Das, Ria A.

“…We focus on the particular domain of causal mechanism discovery in Atari-style grid worlds, and develop a synthesis algorithm that infers a program describing the causal rules of the world from a sequence of observations. …”
Get full text

Peran Koherensi terhadap Kelentingan Keluarga yang Memiliki Anak dengan Spektrum Autistik (ASA) by Fachrun Naja Maulidia, Melok Roro Kinanthi, Nurindah Fitria, Atari Suci Permata

Get full text

Response of chickpea (Cicer arietinum) to molybdenum in moderately-alkaline soil by M S VENKATESH, K K HAZRA, P K GHOSH, S S SINGH, S K CHATURVEDI

Get full text

ساخت و اعتبار یابی مقیاس اندازه گیری الگوی سخت تربیتی والدین by yoosef pir moredi, mahnaz mehrabizadeh honarmand, yoosef ali atari

Get full text

Agrarian change and well-being status of Mara tribe in Mizoram by D K PANDEY, H K DE, PRABHAT KUMAR, S K DUBEY

Get full text