Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States

10 February 2021

Papers citing "Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States"

11 / 11 papers shown

Title
Toward Efficient Exploration by Large Language Model Agents Dilip Arumugam Thomas L. Griffiths LLMAG 92 1 0 29 Apr 2025
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho Anna Harutyunyan 38 5 0 15 Jul 2024
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning Bradley Burega John D. Martin Luke Kapeluck Michael Bowling 40 0 0 27 Jun 2024
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 31 73 0 20 Jul 2023
On the Convergence of Bounded Agents David Abel André Barreto Hado van Hasselt Benjamin Van Roy Doina Precup Satinder Singh 28 4 0 20 Jul 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
Bayesian Reinforcement Learning with Limited Cognitive Load Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 34 8 0 05 May 2023
Reinforcement Learning in Non-Markovian Environments Siddharth Chandak Pratik Shah Vivek Borkar Parth Dodhia OOD 22 7 0 03 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 28 4 0 30 Oct 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 24 3 0 30 Oct 2022
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes Chen-Yu Wei Mehdi Jafarnia-Jahromi Haipeng Luo Hiteshi Sharma R. Jain 107 99 0 15 Oct 2019