cassidylaidlaw / hidden-contextLinks
Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
☆32Updated last year
Alternatives and similar repositories for hidden-context
Users that are interested in hidden-context are comparing it to the libraries listed below
Sorting:
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- Rewarded soups official implementation☆60Updated 2 years ago
- Representation Learning in RL☆13Updated 3 years ago
- ☆34Updated 2 years ago
- Implements the Messenger environment and EMMA model.☆25Updated 2 years ago
- ☆10Updated 3 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆18Updated 3 years ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆44Updated 9 months ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆47Updated 2 years ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆28Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆50Updated 4 years ago
- ☆18Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆68Updated 3 years ago
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆105Updated 3 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆12Updated 3 years ago
- Code for Contrastive Preference Learning (CPL)☆176Updated 10 months ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Learning Safety Constraints for Large Language Models (ICML2025)☆23Updated 2 months ago
- ☆16Updated 4 years ago
- ☆31Updated 4 years ago
- ☆128Updated last year
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- 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
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆22Updated 6 months ago
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆25Updated 2 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆33Updated 2 years ago
- Reinforcement Learning via Supervised Learning☆71Updated 3 years ago