keraJLi / synthetic-gymnaxLinks
Drop-in environment replacements that make your RL algorithm train faster.
☆21Updated last year
Alternatives and similar repositories for synthetic-gymnax
Users that are interested in synthetic-gymnax are comparing it to the libraries listed below
Sorting:
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- ☆13Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- An Open-Ended Agentic Simulator☆52Updated last year
- ☆83Updated last week
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- A collection of matrix games in JAX☆12Updated 9 months ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆20Updated 10 months ago
- ☆83Updated 10 months ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆15Updated last month
- Reinforcement Learning inside a 3D soccer simulation☆29Updated last year
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆182Updated 6 months ago
- Accelerated replay buffers in JAX☆43Updated 3 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆111Updated 2 months ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆59Updated last year
- Corax: Core RL in JAX☆38Updated last year
- Efficient baselines for autocurricula in JAX.☆196Updated last year
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆18Updated 3 months ago
- ☆19Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆83Updated last year
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆78Updated 7 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Unified Implementations of Offline Reinforcement Learning Algorithms☆94Updated 4 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- Simple JAX Graphics Library.☆36Updated 10 months ago
- POPGym Library in JAX☆11Updated last year
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆30Updated last year