frt03 / generalized_dtView external linksLinks
Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
☆70Aug 8, 2022Updated 3 years ago
Alternatives and similar repositories for generalized_dt
Users that are interested in generalized_dt are comparing it to the libraries listed below
Sorting:
- An unofficial implementation for online decision transformer☆41Sep 20, 2022Updated 3 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Oct 25, 2021Updated 4 years ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆29Jul 25, 2023Updated 2 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Aug 8, 2022Updated 3 years ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Feb 10, 2024Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆32Jun 2, 2023Updated 2 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆24Nov 4, 2024Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 3 years ago
- Generalised UDRL☆37May 12, 2022Updated 3 years ago
- ☆48Jul 30, 2023Updated 2 years ago
- Online Decision Transformer☆274Jan 22, 2024Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Dec 4, 2023Updated 2 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Jul 3, 2024Updated last year
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Jul 27, 2021Updated 4 years ago
- Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.☆18Jun 8, 2023Updated 2 years ago
- ☆18Jul 10, 2022Updated 3 years ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Feb 6, 2023Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Feb 10, 2022Updated 4 years ago
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆528Oct 6, 2022Updated 3 years ago
- ☆20Oct 19, 2022Updated 3 years ago
- ☆33Aug 30, 2024Updated last year
- ☆112Aug 6, 2024Updated last year
- ☆364May 1, 2023Updated 2 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆67May 8, 2023Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,646Nov 18, 2024Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆76Mar 4, 2025Updated 11 months ago
- ☆11Aug 2, 2022Updated 3 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆35Oct 22, 2020Updated 5 years ago
- ☆359Oct 12, 2022Updated 3 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Mar 14, 2022Updated 3 years ago
- ☆16Oct 3, 2022Updated 3 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆87Jan 24, 2024Updated 2 years ago
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆25Feb 16, 2023Updated 2 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆28Jan 12, 2023Updated 3 years ago
- Representation Learning for RL☆130Feb 27, 2023Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆391Dec 18, 2021Updated 4 years ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆47Mar 12, 2024Updated last year
- ☆80Dec 9, 2022Updated 3 years ago