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Limitations of Agents Simulated by Predictive Models

Limitations of Agents Simulated by Predictive Models

8 February 2024
Raymond Douglas
Jacek Karwowski
Chan Bae
Andis Draguns
Victoria Krakovna
ArXiv (abs)PDFHTML

Papers citing "Limitations of Agents Simulated by Predictive Models"

12 / 12 papers shown
Title
Reinforced Self-Training (ReST) for Language Modeling
Reinforced Self-Training (ReST) for Language Modeling
Çağlar Gülçehre
T. Paine
S. Srinivasan
Ksenia Konyushkova
L. Weerts
...
Chenjie Gu
Wolfgang Macherey
Arnaud Doucet
Orhan Firat
Nando de Freitas
OffRL
123
308
0
17 Aug 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
389
4,163
0
29 May 2023
Measuring Progress on Scalable Oversight for Large Language Models
Measuring Progress on Scalable Oversight for Large Language Models
Sam Bowman
Jeeyoon Hyun
Ethan Perez
Edwin Chen
Craig Pettit
...
Tristan Hume
Yuntao Bai
Zac Hatfield-Dodds
Benjamin Mann
Jared Kaplan
ALMELM
79
132
0
04 Nov 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
119
192
0
30 Aug 2022
Causal Imitation Learning with Unobserved Confounders
Causal Imitation Learning with Unobserved Confounders
Junzhe Zhang
D. Kumor
Elias Bareinboim
CML
75
76
0
12 Aug 2022
Is Power-Seeking AI an Existential Risk?
Is Power-Seeking AI an Existential Risk?
Joseph Carlsmith
ELM
67
87
0
16 Jun 2022
Shaking the foundations: delusions in sequence models for interaction
  and control
Shaking the foundations: delusions in sequence models for interaction and control
Pedro A. Ortega
M. Kunesch
Grégoire Delétang
Tim Genewein
Jordi Grau-Moya
...
Yutian Chen
Scott E. Reed
Marcus Hutter
Nando de Freitas
Shane Legg
80
64
0
20 Oct 2021
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
169
1,838
0
13 Dec 2019
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CEBDL
91
674
0
02 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,420
0
04 Jan 2018
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
218
3,377
0
12 Jun 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
118
1,348
0
27 Feb 2017
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