Alternatives and similar repositories for oni

Users that are interested in oni are comparing it to the libraries listed below

• axon-rl / gem
  A Gym for Generalist LLMs
  ☆73Updated this week
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆114Updated 11 months ago
• abdulhaim / LMRL-Gym
  ☆99Updated last year
• balrog-ai / BALROG
  Benchmarking Agentic LLM and VLM Reasoning On Games
  ☆179Updated 3 weeks ago
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆59Updated 3 months ago
• conglu1997 / intelligent-go-explore
  Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
  ☆61Updated 5 months ago
• maxencefaldor / omni-epic
  OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).
  ☆65Updated 7 months ago
• mklissa / maestromotif
  Skill Design From AI Feedback
  ☆31Updated 5 months ago
• jinpz / q_sharp
  The official code release for Q#: Provably Optimal Distributional RL for LLM Post-Training
  ☆16Updated 5 months ago
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆167Updated 2 months ago
• vmicheli / delta-iris
  Efficient World Models with Context-Aware Tokenization. ICML 2024
  ☆105Updated 10 months ago
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆35Updated 2 weeks ago
• facebookresearch / minimax
  Efficient baselines for autocurricula in JAX.
  ☆191Updated 11 months ago
• kvfrans / lmpo
  ☆97Updated this week
• upiterbarg / diff_history
  [ICML 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)
  ☆20Updated 11 months ago
• facebookresearch / motif
  Intrinsic Motivation from Artificial Intelligence Feedback
  ☆131Updated last year
• upiterbarg / lintseq
  [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
  ☆19Updated 6 months ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆107Updated last month
• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆42Updated last year
• amazon-science / PAE
  ☆60Updated 5 months ago
• Sea-Snell / Implicit-Language-Q-Learning
  Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
  ☆208Updated 2 years ago
• jhejna / cpl
  Code for Contrastive Preference Learning (CPL)
  ☆174Updated 8 months ago
• ZhaolinGao / REBEL
  Reinforcement Learning via Regressing Relative Rewards
  ☆34Updated 7 months ago
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆30Updated last year
• vivek3141 / gg-bench
  Measuring General Intelligence With Generated Games (Preprint)
  ☆26Updated last week
• p-doom / jasmine
  A simple, performant and scalable JAX-based world modeling codebase
  ☆58Updated this week
• DramaCow / jaxued
  ☆82Updated 4 months ago
• princeton-nlp / USACO
  Can Language Models Solve Olympiad Programming?
  ☆118Updated 6 months ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆52Updated 2 years ago
• sethkarten / pokechamp
  Official repository of the spotlight ICML 2025 paper, PokeChamp: an Expert-level Minimax Language Agent.
  ☆92Updated this week