ikostrikov / jaxrlLinks
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
â740Updated 3 years ago
Alternatives and similar repositories for jaxrl
Users that are interested in jaxrl are comparing it to the libraries listed below
Sorting:
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.â864Updated last year
- RL Environments in JAX đâ846Updated 7 months ago
- Library for Model Based RLâ1,041Updated last year
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithmsâ546Updated 2 weeks ago
- A Python interface for reinforcement learning environmentsâ388Updated 3 years ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesâ476Updated this week
- Multi-Agent Reinforcement Learning with JAXâ714Updated 3 weeks ago
- Really Fast End-to-End Jax RL Implementationsâ1,010Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.â321Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (âĻâ491Updated last year
- â248Updated last year
- Dream to Control: Learning Behaviors by Latent Imaginationâ576Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"â527Updated 3 years ago
- Multi-objective Gymnasium environments for reinforcement learningâ361Updated 2 weeks ago
- High throughput synchronous and asynchronous reinforcement learningâ967Updated last month
- â324Updated last year
- Code for conservative Q-learningâ468Updated 4 years ago
- Real-World RL Benchmark Suiteâ362Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)â579Updated 4 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022â341Updated last year
- â359Updated 3 years ago
- Tools for accelerating safe exploration research.â574Updated 2 years ago
- đšī¸ A diverse suite of scalable reinforcement learning environments in JAXâ794Updated last month
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)â506Updated 3 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of codeâ712Updated last year
- Code for the paper "Phasic Policy Gradient"â267Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RLâ385Updated 4 years ago
- Tonic RL libraryâ419Updated last year
- đĻ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAXâ870Updated 3 weeks ago
- Imitation learning algorithmsâ558Updated 9 months ago