Alternatives and similar repositories for reward-reports

Users that are interested in reward-reports are comparing it to the libraries listed below

• CarperAI / InstructGPT
  For experiments involving instruct gpt. Currently used for documenting open research questions.
  ☆71Updated 3 years ago
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆48Updated 2 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• cognitiveailab / TextWorldExpress
  Super fast implementations of common benchmark text world games
  ☆51Updated 2 months ago
• HazyResearch / ludwig-benchmarking-toolkit
  Ludwig benchmark
  ☆19Updated 3 years ago
• HazyResearch / embroid
  Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  ☆11Updated 2 years ago
• microsoft / Intrepid
  INTeractive learning via REPresentatIon Discovery
  ☆34Updated last year
• Sea-Snell / CALM-Dialogue
  Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"
  ☆34Updated 2 years ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• collinskatie / structured_flexible_and_robust
  ☆14Updated 2 years ago
• shtoshni / learning-chess-blindfolded
  AAAI 2022 Paper: Bet even Beth Harmon couldn't learn chess like that :)
  ☆38Updated 4 years ago
• epfl-dlab / GPTurk
  ☆29Updated 2 years ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆16Updated 4 years ago
• CarperAI / Algorithm-Distillation-RLHF
  ☆35Updated 2 years ago
• google-deepmind / emergent_communication_at_scale
  ☆39Updated last year
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆19Updated last year
• UKPLab / on-emergence
  Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning
  ☆33Updated 10 months ago
• itl-ed / llm-dp
  LLM Dynamic Planner - Combining LLM with PDDL Planners to solve an embodied task
  ☆47Updated 10 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• DAIOS-AI / mindscript
  A programming language for formal/informal computation.
  ☆41Updated 3 months ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 3 years ago
• allenai / smashed
  SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…
  ☆35Updated last year
• EleutherAGI / summarisation
  The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…
  ☆12Updated 4 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• jlin816 / dialop
  DialOp: Decision-oriented dialogue environments for collaborative language agents
  ☆110Updated last year
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆39Updated last year
• BatsResearch / planetarium
  Dataset and benchmark for assessing LLMs in translating natural language descriptions of planning problems into PDDL
  ☆61Updated last year
• JunShern / few-shot-adaptation
  Exploring Few-Shot Adaptation of Language Models with Tables
  ☆24Updated 3 years ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated 9 months ago
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated last year