smearle / autoverseLinks
Generative cellular automaton-like learning environments for RL.
☆19Updated 9 months ago
Alternatives and similar repositories for autoverse
Users that are interested in autoverse are comparing it to the libraries listed below
Sorting:
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated 2 years ago
- ☆68Updated last year
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆36Updated last year
- ☆41Updated 3 years ago
- OMNI: Open-endedness via Models of human Notions of Interestingness☆57Updated 9 months ago
- ☆54Updated 4 months ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Repo to reproduce the First-Explore paper results☆38Updated 10 months ago
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆28Updated last year
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆113Updated last year
- ☆53Updated last year
- Efficient baselines for autocurricula in JAX.☆201Updated last year
- The Energy Transformer block, in JAX☆61Updated last year
- ☆41Updated 2 months ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper☆20Updated last year
- ☆15Updated last year
- Jax like function transformation engine but micro, microjax☆33Updated last year
- ☆34Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- ☆15Updated 3 years ago
- Clean RL implementation using MLX☆33Updated last year
- GPT implementation in Flax☆18Updated 3 years ago
- Code for minimum-entropy coupling.☆32Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆89Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆38Updated 3 years ago
- Latent Program Network (from the "Searching Latent Program Spaces" paper)☆105Updated last month
- Code for the paper "Function-Space Learning Rates"☆23Updated 5 months ago
- Pytorch implementation of the Gato paper from Deepmind☆12Updated 2 years ago
- ☆44Updated 3 weeks ago