Automatic Generation of High-Performance RL Environments

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References (21)

[1]
Migrating Code At Scale With LLMs At Google
2025Celal Ziftci, Stoyan Nikolov et al.
[2]
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
2025Jake Grigsby, Yuqi Xie et al.
[3]
PokéChamp: an Expert-level Minimax Language Agent
2025Seth Karten, A. Nguyen et al.
[4]
Gymnasium: A Standard Interface for Reinforcement Learning Environments
2024Mark Towers, Ariel Kwiatkowski et al.
[5]
PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice
2024Joseph Suarez
[6]
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
2024Michael Matthews, Michael Beukman et al.
[7]
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
2023Alex Rutherford, Benjamin Ellis et al.
[8]
Eureka: Human-Level Reward Design via Coding Large Language Models
2023Y. Ma, William Liang et al.
[9]
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
2023Carlos E. Jimenez, John Yang et al.
[10]
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
2023Tianbao Xie, Siheng Zhao et al.
[11]
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
2023Sotetsu Koyamada, Shinri Okano et al.
[12]
Discovered Policy Optimisation
2022Chris Lu, J. Kuba et al.
[13]
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
2022Jiayi Weng, Min Lin et al.
[14]
A Generalist Agent
2022S. Reed, Konrad Zolna et al.
[15]
Competition-level code generation with AlphaCode
2022Yujia Li, David Choi et al.
[16]
Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation
2021C. Freeman, Erik Frey et al.
[17]
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
2020Aleksei Petrenko, Zhehui Huang et al.
[18]
Unsupervised Translation of Programming Languages
2020M. Lachaux, Baptiste Rozière et al.
[19]
Proximal Policy Optimization Algorithms
2017John Schulman, Filip Wolski et al.
[20]
MuJoCo: A physics engine for model-based control
2012E. Todorov, Tom Erez et al.

Showing 20 of 21 references

Founder's Pitch

"A framework for automatically generating high-performance reinforcement learning environments with minimal engineering effort."

Reinforcement LearningScore: 8View PDF ↗

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0-10 scale

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2/4 signals

5

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4/4 signals

10

Series A Potential

4/4 signals

10

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