Alternatives and similar repositories for SafetyPolytope

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

• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• cassidylaidlaw / hidden-context
  Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
  ☆32Updated last year
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated last year
• lan-lc / adversarial_example_of_Go
  Attack AlphaZero Go agents (NeurIPS 2022)
  ☆22Updated 2 years ago
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆60Updated 2 years ago
• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆42Updated last year
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆28Updated last year
• yudasong / briee
  Representation Learning in RL
  ☆13Updated 3 years ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆19Updated 11 months ago
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• yihangyao / OASIS
  ☆18Updated 11 months ago
• EoinKenny / Prototype-Wrapper-Network-ICLR23
  ☆11Updated 10 months ago
• XanderJC / attention-based-credit
  Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…
  ☆37Updated last year
• ZHZisZZ / emulated-disalignment
  [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
  ☆38Updated last year
• google-deepmind / exedec
  ☆13Updated last year
• chenhongge / SA_DQN
  [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
  ☆34Updated 4 years ago
• cassidylaidlaw / orpo
  ☆19Updated 11 months ago
• flowersteam / EAGER
  ☆10Updated 3 years ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated last year
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆38Updated last month
• CLAIRE-Labo / no-representation-no-trust
  Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (M…
  ☆29Updated 11 months ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 4 years ago
• hammer-wang / Awesome-Transformers-for-Sequential-Decision-Making
  Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.
  ☆47Updated 2 years ago
• YangRui2015 / Generalizable-Reward-Model
  Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"
  ☆41Updated 8 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
  ☆47Updated last year
• sail-sg / rosmo
  Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
  ☆30Updated 2 years ago
• rosieyzh / openrlhf-pretrain
  Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"
  ☆23Updated 2 weeks ago
• zhxieml / PDT
  Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer
  ☆28Updated 2 years ago