cassidylaidlaw / hidden-contextLinks
Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
☆30Updated 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:
- Rewarded soups official implementation☆60Updated last year
- Representation Learning in RL☆14Updated 3 years ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆56Updated last year
- Implements the Messenger environment and EMMA model.☆25Updated 2 years ago
- ☆10Updated 2 years ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆28Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆17Updated 3 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆12Updated 3 years ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆47Updated 2 years ago
- ☆33Updated 2 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.☆45Updated 7 months ago
- Interpreting how transformers simulate agents performing RL tasks☆87Updated last year
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆33Updated 2 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 3 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 4 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 4 years ago
- ☆50Updated 3 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- ☆22Updated 5 months ago
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆105Updated 3 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆59Updated 10 months ago
- ☆31Updated 4 years ago
- ☆32Updated last year
- ☆16Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- ☆19Updated 2 years ago
- Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…☆34Updated 6 months ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago