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Empirical Design in Reinforcement Learning

Empirical Design in Reinforcement Learning

3 April 2023
Andrew Patterson
Samuel Neumann
Martha White
Adam White
ArXivPDFHTML

Papers citing "Empirical Design in Reinforcement Learning"

6 / 6 papers shown
Title
Trust-Region Twisted Policy Improvement
Trust-Region Twisted Policy Improvement
Joery A. de Vries
Jinke He
Yaniv Oren
M. Spaan
OffRL
LRM
35
0
0
08 Apr 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing
Vernon Luk
Jean Oh
84
0
0
16 Dec 2024
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for
  Training and Benchmarking Agents that Solve Fuzzy Tasks
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
Stephanie Milani
Anssi Kanervisto
Karolis Ramanauskas
Sander Schulhoff
Brandon Houghton
Rohin Shah
23
7
0
05 Dec 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin
Olivier Sigaud
Jens Kober
Alin Albu-Schäffer
João Silvério
F. Stulp
32
2
0
09 Oct 2023
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
  Learning
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
Trevor A. McInroe
Adam Jelley
Stefano V. Albrecht
Amos Storkey
OffRL
OnRL
25
6
0
09 Oct 2023
Robust Losses for Learning Value Functions
Robust Losses for Learning Value Functions
Andrew Patterson
Victor Liao
Martha White
28
12
0
17 May 2022
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