Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents

18 May 2025

Papers citing "Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents"

21 / 21 papers shown

Title
GPT-4o System Card OpenAI OpenAI : Aaron Hurst Adam Lerer Adam P. Goucher ... Yuchen He Yuchen Zhang Yujia Jin Yunxing Dai Yury Malkov MLLM 104 750 0 25 Oct 2024
Gymnasium: A Standard Interface for Reinforcement Learning Environments Mark Towers Ariel Kwiatkowski Jordan Terry John U. Balis Gianluca De Cola ... Andrea Pierré Sander Schulhoff Jun Jet Tai Hannah Tan Omar G. Younis AuLLM OffRL 40 183 0 24 Jul 2024
TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen Hao Su Xiaolong Wang MU 73 141 0 25 Oct 2023
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 62 233 0 09 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 47 23 0 01 Mar 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 237 874 0 12 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 259 425 0 16 Feb 2021
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 35 169 0 07 Jul 2020
Reinforcement Learning and its Connections with Neuroscience and Psychology Ajay Subramanian Sharad Chitlangia V. Baths OffRL 36 29 0 25 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 71 1,780 0 08 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 253 41,106 0 28 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 434 1,994 0 04 May 2020
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth Daniel Geng Coline Devin Nicholas Rhinehart Chelsea Finn Dinesh Jayaraman Sergey Levine 27 22 0 11 Dec 2019
A Biologically Plausible Learning Rule for Deep Learning in the Brain Isabella Pozzi Michael Felsberg Fahad Shahbaz Khan AI4CE 23 31 0 05 Nov 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 65 715 0 04 May 2018
World Models David R Ha Jürgen Schmidhuber SyDa 76 1,050 0 27 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 148 8,236 0 04 Jan 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 53 967 0 08 Aug 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 61 552 0 19 Jul 2017
Third-Person Imitation Learning Bradly C. Stadie Pieter Abbeel Ilya Sutskever 39 235 0 06 Mar 2017
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 55 502 0 03 Jul 2015