Webb25 feb. 2024 · HFR is a relabeling distribution constructed using the combination of hindsight, which is used to relabel trajectories using reward functions from the training task distribution, and foresight, which takes the relabeled trajectories and computes the utility of each trajectory for each task. 2 Highly Influenced PDF WebbThis work provides a principled approach to hindsight relabeling, compared to heuristics common in literature, which also extends its applicability. It also proposes an RL and an Imitation Learning algorithm based on Inverse RL relabeling. Prior relabeling methods can be seen as a special case of the more general algorithms derived here.

MHER: Model-based Hindsight Experience Replay - OpenReview

Webboptimal goal-conditioned policy and therefore does not need to perform any hindsight goal relabeling. GoFAR’s relabeling-free training is of significant practical benefits. First, it enables more stable and simpler training by avoiding sensitive hyperparameter tuning associated with HER that cannot be easily performed offline [52]. Webb11 mars 2024 · To overcome the challenge, broad video, and text data can be made more task-specific by post-processing the data, using techniques like hindsight relabeling actions and rewards. In contrast, the decision-making datasets can be made so by blending a variety of task-specific datasets. sec 50 cgst act 2017

[2302.05206] The Wisdom of Hindsight Makes Language Models Better ...

Webb该算法框架将hindsight experience replay这样经典的relabel方法纳入了更大的框架体系中，能够用于解决multi-task问题中不同task之间数据共享的问题，也提高了sample … Webbwherefore means : the cause or intention underlying an action or situation the branch of philosophy dealing with the question of human existence the end result of a series of … Webb13 okt. 2024 · It turns out that relabeling with the goal actually reached is exactly equivalent to doing inverse RL with a certain sparse reward function. This result allows … sec 50 of ibc