OuAzusaKou / imagination_mechanismLinks
About Code release for "Imagination Mechanism: Mesh Information Propagation for Enhancing Data Efficiency in Reinforcement Learning"
☆13Updated 2 years ago
Alternatives and similar repositories for imagination_mechanism
Users that are interested in imagination_mechanism are comparing it to the libraries listed below
Sorting:
- Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces☆47Updated last year
- Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay☆32Updated last year
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆23Updated 2 years ago
- An unofficial implementation for online decision transformer☆41Updated 3 years ago
- ☆14Updated last year
- Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model☆52Updated last year
- Decision Transformer: A brand new Offline RL Pattern.☆37Updated 3 years ago
- Adding Dreamer-v3's implementation tricks to CleanRL's PPO☆14Updated 2 years ago
- ☆37Updated 2 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- ☆34Updated last year
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆65Updated 2 years ago
- Open-source codebase for MAZero, from "Efficient Multi-agent Reinforcement Learning by Planning" at ICLR 2024.☆41Updated last year
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆56Updated 2 years ago
- [NeurIPS 2024] Official Implementation of Meta-DT☆50Updated last year
- The official code release for "Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning", ICLR 2025☆11Updated 7 months ago
- [ICML'23] Official PyTorch Implementation of NA2Q, and a comprehensive benchmark based on pymarl☆21Updated last year
- Meta-RL Model-Based Algorithm☆41Updated 8 months ago
- ☆15Updated last year
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆28Updated last year
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- Synthetic Experience Replay☆107Updated last year
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆19Updated 3 years ago
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆53Updated last year
- ☆27Updated last year
- Implementation of Multi-Game Decision Transformers in PyTorch☆48Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆27Updated last year
- Pytorch Implementation of Learning Latent Dynamic Robust Representations for World Models☆24Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Updated 4 years ago