Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2304.01315
Cited By

Empirical Design in Reinforcement Learning

Empirical Design in Reinforcement Learning

3 April 2023

Andrew Patterson

ArXiv (abs)PDF HTML

Papers citing "Empirical Design in Reinforcement Learning"

22 / 22 papers shown

Learning to Reason Efficiently with Discounted Reinforcement Learning

Learning to Reason Efficiently with Discounted Reinforcement Learning

Dale Schuurmans

Csaba Szepesvári

Karim Bouyarmane

136

0

0

27 Oct 2025

The Formalism-Implementation Gap in Reinforcement Learning Research

The Formalism-Implementation Gap in Reinforcement Learning Research

Pablo Samuel Castro

166

0

0

17 Oct 2025

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards

...

157

3

0

26 Sep 2025

Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation

Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation

124

0

0

24 Sep 2025

Deep Reinforcement Learning with Gradient Eligibility Traces

Deep Reinforcement Learning with Gradient Eligibility Traces

Andrew Patterson

Marlos C. Machado

131

2

0

12 Jul 2025

Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces

Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces

A. Rupam Mahmood

102

0

0

19 Jun 2025

Monotone and Conservative Policy Iteration Beyond the Tabular Case

Monotone and Conservative Policy Iteration Beyond the Tabular Case

Ananyabrata Barua

165

1

0

08 Jun 2025

Calibrated Value-Aware Model Learning with Probabilistic Environment Models

Calibrated Value-Aware Model Learning with Probabilistic Environment Models

Anastasiia Pedan

Igor Gilitschenski

Amir-massoud Farahmand

193

0

0

28 May 2025

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

Andreas Hochlehnert

Hardik Bhatnagar

Vishaal Udandarao

Christian Schroeder de Witt

Matthias Bethge

602

67

0

09 Apr 2025

Trust-Region Twisted Policy Improvement

Trust-Region Twisted Policy Improvement

Joery A. de Vries

466

0

0

08 Apr 2025

A Research Agenda for Usability and Generalisation in Reinforcement Learning

A Research Agenda for Usability and Generalisation in Reinforcement Learning

Dennis J. N. J. Soemers

Spyridon Samothrakis

398

1

0

22 Dec 2024

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Stabilizing Reinforcement Learning in Differentiable Multiphysics SimulationInternational Conference on Learning Representations (ICLR), 2024

392

10

0

16 Dec 2024

Diversity Progress for Goal Selection in Discriminability-Motivated RL

Diversity Progress for Goal Selection in Discriminability-Motivated RL

Erik M. Lintunen

Christian Guckelsberger

206

2

0

03 Nov 2024

Can we hop in general? A discussion of benchmark selection and design
using the Hopper environment

Can we hop in general? A discussion of benchmark selection and design using the Hopper environment

328

6

0

11 Oct 2024

The Cross-environment Hyperparameter Setting Benchmark for Reinforcement
Learning

The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning

Andrew Patterson

Raksha Kumaraswamy

Martha White

Adam White

186

2

0

26 Jul 2024

Position: Benchmarking is Limited in Reinforcement Learning Research

Position: Benchmarking is Limited in Reinforcement Learning Research

Scott M. Jordan

Bruno Castro da Silva

Martha White

Philip S. Thomas

114

13

0

23 Jun 2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
Learning

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning

Quentin Gallouedec

Rousslan Fernand Julien Dossa

...

Alexander Nikulin

249

21

0

05 Feb 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 TasksNeural Information Processing Systems (NeurIPS), 2023

Stephanie Milani

Anssi Kanervisto

Karolis Ramanauskas

Sander Schulhoff

Brandon Houghton

302

7

0

05 Dec 2023

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks

Alin Albu-Schäffer

João Silvério

177

4

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

Stefano V. Albrecht

Amos Storkey

259

7

0

09 Oct 2023

Can Differentiable Decision Trees Enable Interpretable Reward Learning
from Human Feedback?

Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?

Basavasagar Patil

Daniel S. Brown

440

0

0

22 Jun 2023

Efficient Deep Reinforcement Learning with Predictive Processing
Proximal Policy Optimization

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy OptimizationNeurons, Behavior, Data analysis, and Theory (NBDT), 2022

Burcu Küçükoglu

Walraaf Borkent

Marcel van Gerven

256

2

0

11 Nov 2022