mohmdelsayed / upgdLinks
a continual learning optimizer mitigating catastrophic forgetting and loss of plasticity
☆18Updated 11 months ago
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☆339Updated 3 weeks ago
- Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch☆134Updated 4 months ago
- ☆105Updated 7 months ago
- Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University☆98Updated 3 weeks ago
- ☆43Updated last year
- Transformer-based World Models☆85Updated 2 years ago
- Synchronized Curriculum Learning for RL Agents☆113Updated last month
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆124Updated 2 years ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆72Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆111Updated 3 months ago
- Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"☆135Updated 2 years ago
- Implementation of Neurips 2023 Paper "Multi Time Scale World Models"☆13Updated 10 months ago
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆82Updated 8 months ago
- Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"☆58Updated 2 weeks ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆94Updated last year
- ☆107Updated last year
- ☆62Updated last year
- Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344☆44Updated last year
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆79Updated last year
- off-policy RL on long sequences☆142Updated last month
- Environments for Active Vision Reinforcement Learning☆27Updated 11 months ago
- Object Centric Atari games☆89Updated 3 weeks ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆158Updated 2 years ago
- Masked World Models for Visual Control☆130Updated 2 years ago
- Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robo…☆117Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)☆23Updated last year
- Deep reinforcement learning without experience replay, target networks, or batch updates.☆262Updated 6 months ago
- Code for NeurIPS 2023 paper "Active Vision Reinforcement Learning with Limited Visual Observability"☆53Updated 11 months ago
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆58Updated 3 years ago