PARL: A Unified Framework for Policy Alignment in Reinforcement Learning
from Human Feedback

PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback

3 August 2023

Souradip Chakraborty

Amrit Singh Bedi

Mengdi Wang

Furong Huang

Papers citing "PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback"

6 / 6 papers shown

Title
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Qining Zhang Lei Ying OffRL 35 1 0 25 Sep 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 29 2 0 14 Jul 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 36 2 0 30 May 2024
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace Bin Gao Yan Yang Ya-xiang Yuan 34 2 0 04 Apr 2024
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces Amrit Singh Bedi Souradip Chakraborty Anjaly Parayil Brian M. Sadler Pratap Tokekar Alec Koppel 36 17 0 28 Jan 2022
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 48 59 0 21 Jul 2020