Progressive Reinforcement Learning with Distillation for Multi-Skilled
Motion Control

Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control

13 February 2018

M. van de Panne

Papers citing "Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control"

16 / 16 papers shown

Title
ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments Taewoong Kim Cheolhong Min Byeonghwi Kim Jinyeon Kim Wonje Jeung Jonghyun Choi LM&Ro 40 4 0 26 Jul 2024
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 24 1 0 14 Aug 2023
Perpetual Humanoid Control for Real-time Simulated Avatars Zhengyi Luo Jinkun Cao Alexander W. Winkler Kris M. Kitani Weipeng Xu 52 88 0 10 May 2023
Learning multiple gaits of quadruped robot using hierarchical reinforcement learning Yunho Kim Bukun Son Dongjun Lee 13 8 0 09 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
Optimization-free Ground Contact Force Constraint Satisfaction in Quadrupedal Locomotion Eric N. Sihite Pravin Dangol A. Ramezani 40 15 0 24 Nov 2021
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model Zhaoming Xie Xingye Da Buck Babich Animesh Garg M. van de Panne 24 66 0 20 Apr 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto Ruslan Salakhutdinov 42 44 0 04 Apr 2021
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 22 46 0 25 Sep 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 17 40 0 21 Oct 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 29 433 0 26 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 13 102 0 06 Dec 2018
Terrain RL Simulator Glen Berseth Xue Bin Peng M. van de Panne AI4CE 19 5 0 17 Apr 2018
One Big Net For Everything Jürgen Schmidhuber CLL 21 34 0 24 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017