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Relational Abstractions for Generalized Reinforcement Learning on
  Symbolic Problems

Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems

27 April 2022
Rushang Karia
Siddharth Srivastava
    NAIOffRL
ArXiv (abs)PDFHTML

Papers citing "Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems"

6 / 6 papers shown
Title
Epistemic Exploration for Generalizable Planning and Learning in
  Non-Stationary Settings
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings
Rushang Karia
Pulkit Verma
Alberto Speranzon
Siddharth Srivastava
42
4
0
13 Feb 2024
Analyzing Generalization in Policy Networks: A Case Study with the
  Double-Integrator System
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang
H. Han
Maolong Lv
Qisong Yang
Jian Cheng
OffRL
66
2
0
16 Dec 2023
Hierarchical Decomposition and Analysis for Generalized Planning
Hierarchical Decomposition and Analysis for Generalized Planning
Siddharth Srivastava
64
5
0
06 Dec 2022
Learning Dynamic Abstract Representations for Sample-Efficient
  Reinforcement Learning
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning
Mehdi Dadvar
Rashmeet Kaur Nayyar
Siddharth Srivastava
38
0
0
04 Oct 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest
  Path Problems
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
Rushang Karia
Rashmeet Kaur Nayyar
Siddharth Srivastava
32
3
0
08 Apr 2022
Symbolic Relational Deep Reinforcement Learning based on Graph Neural
  Networks and Autoregressive Policy Decomposition
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition
Jaromír Janisch
Tomávs Pevný
Viliam Lisý
AI4CE
66
3
0
25 Sep 2020
1