Parallelized reverse curriculum generation

ZY Chiu, YL Tuan, H Lee, LC Fu - arXiv preprint arXiv:2108.02128, 2021 - arxiv.org
… expansion approach that automatically generates a curriculum for … policy overfit or slowing
down the reverse expansion rate. While … Therefore, we propose a parallelized approach that …

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency

S Tao, A Shukla, T Chan, H Su - The Twelfth International Conference on … - openreview.net
… The result of our reverse curriculum is an initial policy that … A forward curriculum is then used
to accelerate the training of … of a reverse curriculum and forward curriculum in our method, …

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning

S Tao, A Shukla, T Chan, H Su - arXiv preprint arXiv:2405.03379, 2024 - arxiv.org
… The result of our reverse curriculum is an initial policy that … A forward curriculum is then used
to accelerate the training of … of a reverse curriculum and forward curriculum in our method, …

Paired open-ended trailblazer (poet): Endlessly generating increasingly complex and diverse learning environments and their solutions

R Wang, J Lehman, J Clune, KO Stanley - arXiv preprint arXiv:1901.01753, 2019 - arxiv.org
… For example, the curriculum can be produced by a generator … far from the goal (ie a reverse
curriculum) [36], or through … These transfer attempts are also easily parallelized because …

[HTML][HTML] Curriculum Design and Sim2Real Transfer for Reinforcement Learning in Robotic Dual-Arm Assembly

K Wrede, S Zarnack, R Lange, O Donath, T Wohlfahrt… - Machines, 2024 - mdpi.com
… necessitates multiple hardware units for parallelization, and risky due … The training process
is designed as a reverse curriculum: we … , RL involves the dynamic generation of data through …

Poet: open-ended coevolution of environments and their optimized solutions

R Wang, J Lehman, J Clune, KO Stanley - Proceedings of the Genetic …, 2019 - dl.acm.org
generating problems recently has gained recognition across a variety of related fields, such
as goal generation [15] and reverse curriculum generation … also easily parallelized because …

Self-paced deep reinforcement learning

P Klink, C D'Eramo, JR Peters… - Advances in Neural …, 2020 - proceedings.neurips.cc
curriculum generation problem, assuming access to a set of parameterized tasks. Recently,
an increasing number of algorithms for curriculum generation … the parallelization capabilities …

Robust reinforcement learning via genetic curriculum

Y Song, J Schneider - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
… By evaluation and curriculum generation, GC limits computationally … Evaluation could be
accelerated further by parallelization. … Abbeel, “Reverse curriculum generation for reinforcement …

Maniskill3: Gpu parallelized robotics simulation and rendering for generalizable embodied ai

S Tao, F Xiang, A Shukla, Y Qin, X Hinrichsen… - arXiv preprint arXiv …, 2024 - arxiv.org
… We are currently still in the process of generating demonstrations for more tasks. …
Reverse forward curriculum learning for extreme sample and demo efficiency. In The Twelfth …

Parallelization in co-compilation for configurable accelerators-a host/accelerator partitioning compilation method

J Becker, R Hartenstein, M Herz… - Proceedings of 1998 …, 1998 - ieeexplore.ieee.org
… In contrast, parallelizing loops in structural programming performs a “vertical” move, one …
into parallelized loops (data-path level ) [25]. This parallelization we call “vertical parallelization”…