Alternatives and similar repositories for drpo:

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

• Asap7772 / understanding-rlhf
  ☆25Updated 10 months ago
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 5 months 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
  ☆40Updated last year
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆54Updated last year
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆26Updated last year
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆76Updated 2 months ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆15Updated 9 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆51Updated 9 months ago
• abdulhaim / LMRL-Gym
  ☆79Updated 8 months ago
• WeiXiongUST / Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning
  This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…
  ☆20Updated 2 months ago
• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆41Updated 7 months ago
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆39Updated 2 months ago
• vwxyzjn / summarize_from_feedback_details
  ☆134Updated 3 months ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆15Updated last month
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆56Updated 5 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆29Updated 8 months ago
• ZhaolinGao / REBEL
  ☆28Updated 2 months ago
• pickxiguapi / Uni-RLHF-Platform
  Uni-RLHF platform for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024…
  ☆33Updated 3 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆24Updated 11 months ago
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆40Updated 8 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆42Updated 7 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆54Updated 4 months ago
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆31Updated 3 months ago
• cmu-mind / RISE
  ☆28Updated 4 months ago
• amazon-science / PAE
  ☆52Updated 2 weeks ago
• shenao-zhang / SELM
  The official implementation of Self-Exploring Language Models (SELM)
  ☆61Updated 8 months ago
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆126Updated 3 months ago
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆24Updated 5 months ago