jys5609 / MC-LAVE-RL
ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"
☆33Updated last year
Alternatives and similar repositories for MC-LAVE-RL
Users that are interested in MC-LAVE-RL are comparing it to the libraries listed below
Sorting:
- ☆93Updated 10 months ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated 9 months ago
- ☆17Updated 4 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆57Updated 7 months ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆55Updated 10 months ago
- ☆29Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- Implements the Messenger environment and EMMA model.☆23Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Implementation of the Off Belief Learning algorithm.☆47Updated 2 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆13Updated 3 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 3 years ago
- Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…☆32Updated 2 months ago
- Rewarded soups official implementation☆57Updated last year
- Exploring techniques to generate diverse conventions in multi-agent settings☆14Updated last year
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆46Updated 2 years ago
- The official code release for Q#: Provably Optimal Distributional RL for LLM Post-Training☆11Updated 2 months ago
- Code for Sibling Rivalry and experiments presented in associated paper☆17Updated 2 weeks ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆46Updated 2 years ago
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆104Updated 2 years ago
- ☆31Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆21Updated 6 months ago
- Official PyTorch implementation of AlberDICE☆22Updated last year
- Implementation of the paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆16Updated 7 months ago
- ☆47Updated 2 years ago
- Dateset Reset Policy Optimization☆30Updated last year
- Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.☆22Updated 3 weeks ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆45Updated 2 weeks ago