Tight Performance Guarantees of Imitator Policies with Continuous
Actions

Tight Performance Guarantees of Imitator Policies with Continuous Actions

7 December 2022

Alberto Maria Metelli

Marcello Restelli

Papers citing "Tight Performance Guarantees of Imitator Policies with Continuous Actions"

12 / 12 papers shown

Title
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 64 119 0 22 Oct 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning Hong Jun Jeon S. Milli Anca Dragan 53 177 0 12 Feb 2020
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 83 839 0 16 Nov 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 75 605 0 18 Jun 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 72 154 0 19 Apr 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 169 5,168 0 26 Feb 2018
Human-in-the-loop Artificial Intelligence Fabio Massimo Zanzotto 51 268 0 23 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 366 18,931 0 20 Jul 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 161 244 0 27 Mar 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 128 3,098 0 10 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 193 5,069 0 05 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 294 13,214 0 09 Sep 2015

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