lasgroup / SafetyPolytopeLinks
Learning Safety Constraints for Large Language Models (ICML2025)
☆25Updated 4 months ago
Alternatives and similar repositories for SafetyPolytope
Users that are interested in SafetyPolytope are comparing it to the libraries listed below
Sorting:
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆32Updated 2 years ago
- ☆20Updated last year
- Rewarded soups official implementation☆62Updated 2 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆37Updated last year
- ☆34Updated 2 years ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- ☆11Updated last year
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆38Updated last year
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Updated 3 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆35Updated 4 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- Representation Learning in RL☆13Updated 3 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆28Updated 2 years ago
- Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023☆30Updated 2 years ago
- Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…☆38Updated last year
- Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (M…☆30Updated last year
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆43Updated 10 months ago
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆46Updated 11 months ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated 2 years ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆49Updated 3 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 4 years ago
- Mirror Descent Policy Optimization☆41Updated 5 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆81Updated last year
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆26Updated 2 months ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆69Updated 3 years ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- An unofficial implementation for online decision transformer☆40Updated 3 years ago
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆78Updated 6 months ago