lucidrains / evolutionary-policy-optimizationLinks
Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
☆103Updated last month
Alternatives and similar repositories for evolutionary-policy-optimization
Users that are interested in evolutionary-policy-optimization are comparing it to the libraries listed below
Sorting:
- Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch☆141Updated 5 months ago
- Implementation of Soft Actor Critic and some of its improvements in Pytorch☆60Updated 8 months ago
- ☆42Updated 3 months ago
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆111Updated last year
- Implementation of a transformer for reinforcement learning using `x-transformers`☆69Updated last month
- ☆73Updated last year
- Synchronized Curriculum Learning for RL Agents☆114Updated 2 months ago
- [ICLR 2025] Implementation of "FACTS: A Factored State-Space Framework For World Modelling"☆28Updated 4 months ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆76Updated last year
- Implementation of Danijar's latest iteration for his Dreamer line of work☆83Updated last week
- Explorations into improving ViTArc with Slot Attention☆43Updated last year
- The official implementation of flow Q-learning (FQL)☆243Updated 3 months ago
- The official implementation of "Horizon Reduction Makes RL Scalable"☆149Updated 2 months ago
- Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robo…☆128Updated last year
- Implementation of Diffusion Transformer Model in Pytorch☆70Updated 5 months ago
- Experiments in Joint Embedding Predictive Architectures (JEPAs).☆42Updated last year
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆84Updated 9 months ago
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆37Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆68Updated last year
- ☆120Updated 4 months ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆158Updated 2 years ago
- Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"☆144Updated last year
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆35Updated 11 months ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆104Updated last week
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆79Updated 8 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆126Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆117Updated 4 months ago
- Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.☆27Updated last year
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆28Updated last year