A First-Occupancy Representation for Reinforcement Learning

28 September 2021

Papers citing "A First-Occupancy Representation for Reinforcement Learning"

12 / 12 papers shown

Title
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 67 0 0 04 Jan 2025
Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning Duo Xu Faramarz Fekri OffRL 31 0 0 03 Nov 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 59 0 0 19 Oct 2024
Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz Aaditya K. Singh DJ Strouse T. Sandholm Ruslan Salakhutdinov Anca D. Dragan Stephen Marcus McAleer 34 47 0 06 Oct 2023
A State Representation for Diminishing Rewards Ted Moskovitz Samo Hromadka Ahmed Touati Diana Borsa M. Sahani 16 2 0 07 Sep 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations A. Jain Lucas Lehnert Irina Rish Glen Berseth 34 13 0 26 Jun 2023
Successor-Predecessor Intrinsic Exploration Changmin Yu Neil Burgess M. Sahani S. Gershman 25 3 0 24 May 2023
Transfer RL via the Undo Maps Formalism Abhi Gupta Theodore H. Moskovitz David Alvarez-Melis Aldo Pacchiano OffRL 25 0 0 26 Nov 2022
Safety-Constrained Policy Transfer with Successor Features Zeyu Feng Bowen Zhang Jianxin Bi Harold Soh 6 4 0 10 Nov 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 26 1 0 17 Jul 2022
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 19 9 0 04 Nov 2021
Reinforcement Learning with Non-Markovian Rewards Maor Gaon Ronen I. Brafman OffRL 38 75 0 05 Dec 2019