Toggle navigation
OpenReview
.net
Login
×
Back to
RLC
RLC 2024 Workshop Finding the Frame Submissions
Reward is (almost) enough
Sonali Parbhoo
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Generalized Hyperbolic Discounting for Delay-Sensitive Reinforcement Learning
Raja Farrukh Ali
,
John Woods
,
Robert A Southern
,
Travis Smith
,
Vahid Behzadan
,
William Hsu
Published: 04 Jun 2024, Last Modified: 22 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Time is of the Essence: Why Decision-Time Planning Costs Matter
Kevin A. Wang
,
Jerry Xia
,
Stephen Chung
,
Jennifer Wang
,
Francisco Piedrahita Velez
,
Hung-Jen Wang
,
Amy Greenwald
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Investigating Biologically-Inspired Approaches for Continual Reinforcement Learning
Olya Mastikhina
,
Golnaz Mesbahi
,
Martha White
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
RL in context - towards a framing that enables cybernetics-style questions
Maia Fraser
,
Vincent Létourneau
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Hyperbolic Discounting in Multi-Agent Reinforcement Learning
Raja Farrukh Ali
,
John Woods
,
Esmaeil Seraj
,
Kevin Duong
,
Vahid Behzadan
,
William Hsu
Published: 04 Jun 2024, Last Modified: 22 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
The Need for a Big World Simulator: A Scientific Challenge for Continual Learning
Saurabh Kumar
,
Hong Jun Jeon
,
Alex Lewandowski
,
Benjamin Van Roy
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
The Big World Hypothesis and its Ramifications for Artificial Intelligence
Khurram Javed
,
Richard S. Sutton
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Realtime Reinforcement Learning: Towards Rapid Asynchronous Deployment of Large Models
Matthew Riemer
,
Gopeshh Subbaraj
,
Glen Berseth
,
Irina Rish
Published: 04 Jun 2024, Last Modified: 03 Oct 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Exploration Unbound
Dilip Arumugam
,
Wanqiao Xu
,
Benjamin Van Roy
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Milnor-Myerson Games and The Principles of Artificial Principal-Agent Problems
Manfred Diaz
,
Joel Z Leibo
,
Liam Paull
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Pick up the PACE: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
,
Zhiyu Zhang
,
Heng Yang
Published: 04 Jun 2024, Last Modified: 20 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Toward Complex and Structured Goals in Reinforcement Learning
Guy Davidson
,
Todd Gureckis
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
MOSEAC: Streamlined Variable Time Step Reinforcement Learning
Dong Wang
,
Giovanni Beltrame
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment
Claas A Voelcker
,
Marcel Hussing
,
Eric Eaton
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
How to Specify Reinforcement Learning Objectives
W. Bradley Knox
,
James MacGlashan
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
Jacob Adkins
,
Michael Bowling
,
Adam White
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Learning telic-controllable state representations
Nadav Amir
,
Stas Tiomkin
,
Angela J Langdon
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Satisficing Exploration for Deep Reinforcement Learning
Dilip Arumugam
,
Saurabh Kumar
,
Ramki Gummadi
,
Benjamin Van Roy
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll
,
Davis Foote
,
Anand Siththaranjan
,
Stuart Russell
,
Anca Dragan
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Replacing Implicit Regression with Classification in Policy Gradient Reinforcement Learning
Josiah P. Hanna
,
Brahma S Pavse
,
Abhinav Narayan Harish
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
Cameron Allen
,
Aaron T. Kirtland
,
Ruo Yu Tao
,
Sam Lobel
,
Daniel Scott
,
Nicholas Petrocelli
,
Omer Gottesman
,
Ronald Parr
,
Michael Littman
,
George Konidaris
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
ODGR: Online Dynamic Goal Recognition
Matan Shamir
,
Osher Elhadad
,
Matthew E. Taylor
,
Reuth Mirsky
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone
Characteristics of Effective Exploration for Transfer in Reinforcement Learning
Jonathan C Balloch
,
Rishav Bhagat
,
Geigh Zollicoffer
,
Ruoran Jia
,
Julia Kim
,
Mark Riedl
Published: 04 Jun 2024, Last Modified: 19 Jul 2024
Finding the Frame: RLC 2024 Poster
Readers:
Everyone