EvolutionGym / evogymLinks
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
☆228Updated 4 months ago
Alternatives and similar repositories for evogym
Users that are interested in evogym are comparing it to the libraries listed below
Sorting:
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆214Updated last week
- Code for "Embodied Intelligence via Learning and Evolution", Gupta et al, Nature Communications☆179Updated 4 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆156Updated 9 months ago
- [ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation☆332Updated last year
- Accelerated Quality-Diversity☆321Updated 3 months ago
- ☆77Updated 2 years ago
- map elites python reference implementation☆93Updated 2 years ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆236Updated 4 months ago
- ☆271Updated 3 years ago
- Partially Observable Process Gym☆201Updated 4 months ago
- A Simplified Pytorch Version of the Dreamer Algorithm☆139Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆165Updated 3 months ago
- Deep Hierarchical Planning from Pixels☆107Updated 2 years ago
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆190Updated this week
- Design tool for creating Evolution Gym environments.☆102Updated 2 years ago
- Highly scalable 2D JAX physics engine.☆59Updated 7 months ago
- PushWorld: A benchmark for manipulation planning with tools and movable obstacles☆84Updated last year
- Jax/Flax Implementation of TD-MPC2☆66Updated this week
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆507Updated last week
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆58Updated 3 years ago
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆231Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆311Updated last year
- RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design (SIGGRAPH Asia 2020)☆213Updated 2 years ago
- PyTorch implementation of DreamerV2 model-based RL algorithm☆227Updated 2 years ago
- A framework for Reinforcement Learning research.☆161Updated last month
- megastep helps you build 1-million FPS reinforcement learning environments on a single GPU☆142Updated 3 years ago
- ☆45Updated 2 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆186Updated 6 months ago