mohmdelsayed / upgdLinks
a continual learning optimizer mitigating catastrophic forgetting and loss of plasticity
☆19Updated last year
Alternatives and similar repositories for upgd
Users that are interested in upgd are comparing it to the libraries listed below
Sorting:
- Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation☆349Updated 2 months ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆76Updated last year
- ☆109Updated 8 months ago
- Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch☆141Updated 6 months ago
- ☆45Updated 2 years ago
- Environments for Active Vision Reinforcement Learning☆27Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆101Updated last month
- ☆65Updated last year
- Code for the paper "Learning a Diffusion Model Policy from Rewards via Q-Score Matching"☆29Updated 6 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆74Updated this week
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆69Updated last year
- [ICLR 2025] Implementation of "FACTS: A Factored State-Space Framework For World Modelling"☆28Updated 5 months ago
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆128Updated 2 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆79Updated last year
- Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University☆102Updated last month
- ☆57Updated 7 months ago
- Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"☆135Updated 2 years ago
- (NeurIPS 2023) Residual Q-Learning: Offline and Online Policy Customization without Value☆35Updated last year
- Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robo…☆128Updated last year
- Transformer-based World Models☆86Updated 2 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- Official Code for "Relative Entropy Pathwise Policy Optimization"☆38Updated 3 weeks ago
- Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces☆44Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- ☆57Updated 3 years ago
- ☆52Updated 5 months ago
- Implementation of Neurips 2023 Paper "Multi Time Scale World Models"☆13Updated last year
- Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"☆61Updated 2 months ago
- ☆26Updated last year
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year