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:
- ☆16Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆111Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- An Open-Ended Agentic Simulator☆58Updated last year
- ☆90Updated 3 months ago
- Baselines for gymnax 🤖☆73Updated 2 years ago
- ☆89Updated last year
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆22Updated last year
- A collection of matrix games in JAX☆12Updated last year
- Simple JAX Graphics Library.☆36Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆120Updated last year
- Efficient baselines for autocurricula in JAX.☆201Updated last year
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Accelerated replay buffers in JAX☆45Updated 3 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Updated last month
- Simple single-file baselines for Q-Learning in pure-GPU setting☆229Updated last month
- Challenging Memory-based Deep Reinforcement Learning Agents☆105Updated last year
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆85Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆130Updated 6 months ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆61Updated 2 years ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆81Updated 10 months ago
- Neuroevolution Benchmark in JAX 🦕☆42Updated 2 years ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆34Updated 6 months ago
- POPGym Library in JAX☆12Updated last year
- Corax: Core RL in JAX☆38Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆82Updated last month
- Unified Implementations of Offline Reinforcement Learning Algorithms☆183Updated last week