IMPLICIT CURRICULUM IN PROCGEN MADE EXPLICIT

IMPLICIT CURRICULUM IN PROCGEN MADE EXPLICIT

Master's

Saved in:

Bibliographic Details
Main Author:	TAN ZHENXIONG
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2024
Subjects:	reinforcement learning, curriculum learning, sample efficiency, benchmark, contextual reinforcement learning, learning signals
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/248447
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

Similar Items

Benchmarking MARL on long horizon sequential multi-objective tasks
by: GENG, Minghong, et al.
Published: (2024)

State-Aware Variational Thompson Sampling for Deep Q-Networks
by: WEE SUN LEE, et al.
Published: (2021)

Curriculum learning improves compositionality of reinforcement learning agent across concept classes
by: Lin, Zijun
Published: (2024)

VARIATIONAL DISTRIBUTION DESIGNS FOR APPROXIMATE THOMPSON SAMPLING IN DEEP REINFORCEMENT LEARNING
by: SIDDHARTH ARAVINDAN
Published: (2022)

LEARNING GENERALIZABLE REPRESENTATIONS IN REINFORCEMENT LEARNING
by: WANG, KAIXIN
Published: (2023)

MODEL-BASED REINFORCEMENT LEARNING FOR COMPLEX ENVIRONMENTS
by: MA XIAO
Published: (2022)

Guaranteed hierarchical reinforcement learning
by: Ang, Riley Xile
Published: (2024)

HIERARCHICAL REINFORCEMENT LEARNING WITH PARAMETERIZED OPTIONS FOR LONG-HORIZON ROBOTIC MANIPULATION
by: GUO CHAOQUN
Published: (2023)

Intelligent robot manipulation with deep learning
by: Tan, Jun Aun
Published: (2024)

Hierarchical reinforcement learning with integrated discovery of salient subgoals
by: PATERIA, Shubham, et al.
Published: (2020)

Goal modelling for deep reinforcement learning agents
by: Leung, Jonathan, et al.
Published: (2022)

Reinforcement learning for robot assembly
by: Vuong Quoc Nghia
Published: (2024)

SCALES: From Fairness Principles to Constrained Decision-Making
by: Balakrishnan, Sreejith, et al.
Published: (2022)

AN ALTERNATIVE INFORMATION-THEORETIC CRITERION FOR ACTIVE LEARNING
by: NGUYEN QUOC PHONG
Published: (2018)

Deep reinforcement learning for soft, flexible robots: Brief review with impending challenges
by: Bhagat, S., et al.
Published: (2021)

COGNITIVE ENGINE AND DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGERY
by: TAN XIAOYU
Published: (2019)

Integrating motivated learning and k-winner-take-all to coordinate multi-agent reinforcement learning
by: TENG, Teck-Hou, et al.
Published: (2014)

NEW ADVANCES ON BAYESIAN AND DECISION-THEORETIC APPROACHES FOR INTERACTIVE MACHINE LEARNING
by: HOANG TRONG NGHIA
Published: (2015)

GENERALIZATION TECHNIQUES IN DEEP REINFORCEMENT LEARNING
by: MUHAMMAD RIZKI AULIA RAHMAN MAULANA
Published: (2023)

Imitate the good and avoid the bad: An incremental approach to safe reinforcement learning
by: HOANG, Minh Huy, et al.
Published: (2024)

APPLICATIONS OF MACHINE LEARNING IN CONTROLLING OF ROBOTIC MEDICAL DEVICES
by: HOANG NGOC SON
Published: (2020)

Applications of multi-agent reinforcement learning in future internet: a comprehensive survey
by: Li, Tianxu, et al.
Published: (2022)

Action selection for composable modular deep reinforcement learning
by: GUPTA, Vaibhav, et al.
Published: (2021)

Motivated learning as an extension of reinforcement learning
by: STARZYK, Janusz, et al.
Published: (2010)

Toward trustworthy decision-making for autonomous vehicles: a robust reinforcement learning approach with safety guarantees
by: He, Xiangkun, et al.
Published: (2024)

Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
by: Deng, Hanzhi
Published: (2024)

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay
by: Yin, Haiyan, et al.
Published: (2017)

Constrained reinforcement learning in hard exploration problems
by: PATHMANATHAN, Pankayaraj, et al.
Published: (2023)

Financial portfolio optimization: an autoregressive deep reinforcement learning algorithm with learned intrinsic rewards
by: Lim, Magdalene Hui Qi
Published: (2024)

BIOLOGICALLY PLAUSIBLE COMPUTATIONS UNDERLYING ONE-SHOT LEARNING OF PAIRED ASSOCIATIONS
by: M GANESHKUMAR
Published: (2023)

DIFFERENTIABLE SOCIAL PROJECTION WITH DEEP SELF-MODEL IMPLANTS FOR ASSISTIVE HUMAN-ROBOT COMMUNICATION
by: FONG CHEE YONG JEFFREY
Published: (2022)

Reinforcement learning of multiple tasks using a hierarchical CMAC architecture
by: Tham, C.K.
Published: (2014)

Reinforcement learning of multiple tasks using a hierarchical CMAC architecture
by: Tham, C.K.
Published: (2014)

PRESCRIPTIVE ANALYTICS WITH INTERNET OF THINGS
by: HU JINGRUI
Published: (2021)

Deep Reinforcement Learning With Explicit Context Representation
by: Munguia-Galeano, Francisco, et al.
Published: (2023)

Tuning an underwater communication link
by: SATISH SHANKAR
Published: (2014)

Stealing deep reinforcement learning models for fun and profit
by: CHEN, Kangjie, et al.
Published: (2021)

Action selection for composable modular deep reinforcement learning
by: GUPTA, Vaibhav, et al.
Published: (2021)

Helping students manage personalized learning scenarios
by: Inventado, Paul Salvador B., et al.
Published: (2013)

Exploration of network centrality in goal conditioned reinforcement learning
by: Sharma Divyansh
Published: (2024)