Alternatives and similar repositories for lm-butlers

Users that are interested in lm-butlers are comparing it to the libraries listed below

• jlin816 / rewards-from-language
  Code and data for "Inferring Rewards from Language in Context" [ACL 2022].
  ☆15Updated 3 years ago
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆43Updated last year
• cicl-stanford / procedural-evals-tom
  ☆32Updated last year
• linlu-qiu / lm-inductive-reasoning
  ☆34Updated last year
• cognitiveailab / TextWorldExpress
  Super fast implementations of common benchmark text world games
  ☆48Updated 3 months ago
• abdulhaim / LMRL-Gym
  ☆95Updated 11 months ago
• ahjwang / messenger-emma
  Implements the Messenger environment and EMMA model.
  ☆23Updated 2 years ago
• vzhong / silg
  ☆20Updated 3 years ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• xingdi-eric-yuan / GATA-public
  ☆38Updated 11 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆54Updated last year
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆16Updated 5 months ago
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆28Updated last year
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆58Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆121Updated 9 months ago
• ZhaofengWu / counterfactual-evaluation
  ☆55Updated last month
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• sled-group / MindCraft
  Official code for our EMNLP2021 Outstanding Paper MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
  ☆22Updated 2 years ago
• LauraRuis / multimodal_seq2seq_gSCAN
  The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper.
  ☆16Updated 4 years ago
• princeton-nlp / XTX
  [ICLR 2022 Spotlight] Multi-Stage Episodic Control for Strategic Exploration in Text Games
  ☆14Updated 3 years ago
• tlc4418 / llm_optimization
  A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.
  ☆44Updated 5 months ago
• YifeiZhou02 / ArCHer
  Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
  ☆179Updated 2 months ago
• cassidylaidlaw / orpo
  ☆16Updated 7 months ago
• tianjunz / TEMPERA
  ☆44Updated 2 years ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• ShuangLI59 / Pre-Trained-Language-Models-for-Interactive-Decision-Making
  Pre-Trained Language Models for Interactive Decision-Making [NeurIPS 2022]
  ☆127Updated 3 years ago
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆144Updated 7 months ago
• gregorbachmann / Next-Token-Failures
  ☆86Updated last year
• OpenDFM / Rememberer
  [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents
  ☆34Updated last year
• weigq / openview_quicklook
  ☆34Updated 3 months ago