Synchronized Curriculum Learning for RL Agents
☆122Feb 21, 2026Updated last week
Alternatives and similar repositories for Syllabus
Users that are interested in Syllabus are comparing it to the libraries listed below
Sorting:
- ☆13Apr 25, 2024Updated last year
- Simple JAX Graphics Library.☆36Nov 3, 2024Updated last year
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆20Oct 21, 2025Updated 4 months ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Aug 8, 2022Updated 3 years ago
- POPGym Library in JAX☆12Apr 15, 2024Updated last year
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 3 months ago
- ☆59Sep 22, 2022Updated 3 years ago
- Simple single file implementations of Reinforcement Learning algorithms in Julia☆23Feb 15, 2025Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Jun 15, 2023Updated 2 years ago
- Building blocks for productive research☆69Jan 12, 2026Updated last month
- Efficient baselines for autocurricula in JAX.☆207Aug 24, 2024Updated last year
- A videogame made with PyGame turned into an Open AI Gym Learning Environment for Reinforcement Learning agents.☆15Jan 3, 2023Updated 3 years ago
- ☆92Jan 21, 2026Updated last month
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆12Aug 31, 2020Updated 5 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 2 years ago
- ☆19Apr 22, 2024Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Oct 6, 2021Updated 4 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19May 10, 2024Updated last year
- The official implementation of "Horizon Reduction Makes RL Scalable"☆181Aug 2, 2025Updated 6 months ago
- Highly scalable 2D JAX physics engine.☆63Feb 20, 2026Updated last week
- Advantage weighted Actor Critic for Offline RL☆52Aug 27, 2022Updated 3 years ago
- ☆16May 5, 2022Updated 3 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆21May 18, 2023Updated 2 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆23Oct 28, 2024Updated last year
- Scalable Opponent Shaping Experiments in JAX☆25Apr 13, 2024Updated last year
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆230Jan 24, 2026Updated last month
- Skeleton for scalable and flexible Jax RL implementations☆96Jul 1, 2023Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Mar 9, 2023Updated 2 years ago
- Code for magnetic mirror descent.☆17Oct 5, 2023Updated 2 years ago
- A list of academic papers that utilize the ManiSkill framework, categorized by year of publication.☆23May 30, 2025Updated 9 months ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆64Nov 14, 2024Updated last year
- Partially Observable Multi-Agent RL with Transformers☆17Feb 13, 2026Updated 2 weeks ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆138Aug 20, 2024Updated last year
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆21Sep 18, 2020Updated 5 years ago
- [ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆29Mar 1, 2024Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆23Jul 16, 2022Updated 3 years ago
- PyTorch implementation for all methods and environments in the paper "MIMEx: Intrinsic Rewards from Masked Input Modeling"☆16May 17, 2023Updated 2 years ago
- ☆10Jun 27, 2024Updated last year
- An implementation of the AlphaZero algorithm for adversarial games to be used with the machine learning framework of your choice☆12Aug 30, 2020Updated 5 years ago