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Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations
  using Generative Models

Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models

2 November 2020
Yuchen Wu
Melissa Mozifian
Florian Shkurti
ArXivPDFHTML

Papers citing "Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models"

8 / 8 papers shown
Title
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Wenjun Cao
52
0
0
26 Apr 2025
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
34
5
0
06 Aug 2024
Reinforcement learning with Demonstrations from Mismatched Task under
  Sparse Reward
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
Yanjiang Guo
Jingyue Gao
Zheng Wu
Chengming Shi
Jianyu Chen
OffRL
21
4
0
03 Dec 2022
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal
  Conditioning
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
Caroline Wang
Garrett A. Warnell
Peter Stone
40
3
0
26 Oct 2022
Bayesian Q-learning With Imperfect Expert Demonstrations
Bayesian Q-learning With Imperfect Expert Demonstrations
Fengdi Che
Xiru Zhu
Doina Precup
D. Meger
Gregory Dudek
19
2
0
01 Oct 2022
Tolerance-Guided Policy Learning for Adaptable and Transferrable
  Delicate Industrial Insertion
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
Boshen Niu
Chenxi Wang
Changliu Liu
17
4
0
04 Aug 2021
A Minimalist Approach to Offline Reinforcement Learning
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
58
780
0
12 Jun 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
1