DT6A / ReBRACLinks
Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
☆14Updated last year
Alternatives and similar repositories for ReBRAC
Users that are interested in ReBRAC are comparing it to the libraries listed below
Sorting:
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆55Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆72Updated last year
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆16Updated 4 months ago
- ☆57Updated 3 months ago
- Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023☆53Updated 2 years ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - —☆71Updated 3 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated last month
- Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Worksho…☆21Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS☆24Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆62Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆39Updated 2 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated last year
- ☆87Updated last year
- Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"☆31Updated 8 months ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆67Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆88Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆58Updated 8 months ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 9 months ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Updated last year
- Clean, extensible implementation of MACAW [ICML 2021]☆13Updated 3 years ago
- Repo for Implicit Diffusion Q-Learning☆109Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- [NeurIPS 2023] Implementation of Elastic Decision Transformer☆35Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆48Updated this week
- ☆92Updated 3 months ago