EmptyJackson / grooveLinks
Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"
☆30Updated last year
Alternatives and similar repositories for groove
Users that are interested in groove are comparing it to the libraries listed below
Sorting:
- Scalable Opponent Shaping Experiments in JAX☆24Updated 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
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆17Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 3 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆20Updated 11 months ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆66Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- ☆31Updated last year
- ☆56Updated 3 years ago
- ☆83Updated 3 weeks ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆58Updated last year
- General Modules for JAX☆67Updated 3 weeks ago
- Generalised UDRL☆37Updated 3 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆26Updated 10 months ago
- Corax: Core RL in JAX☆38Updated last year
- ☆45Updated last year
- ☆31Updated 4 years ago
- Accelerated replay buffers in JAX☆43Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆115Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 3 years ago
- A collection of matrix games in JAX☆12Updated 10 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆15Updated last month
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆58Updated last week
- ☆48Updated 2 years ago