amazon-science / fast-rl-with-slow-updatesLinks
☆18Updated 2 years ago
Alternatives and similar repositories for fast-rl-with-slow-updates
Users that are interested in fast-rl-with-slow-updates are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆98Updated 2 years ago
- Baselines for gymnax 🤖☆74Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆40Updated 9 months ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- ☆101Updated last year
- The source code for the gym-microrts paper.☆43Updated 3 years ago
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆120Updated last year
- Standard interface for entity based reinforcement learning environments.☆38Updated 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
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- A web based platform for collecting human actions in reinforcement learning environments☆31Updated 3 months ago
- Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".☆87Updated last year
- A2C is a special case of PPO!☆22Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆107Updated last year
- ☆28Updated 3 years ago
- ☆46Updated last year
- Reinforcement learning training framework for entity-gym environments.☆17Updated last year
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- ☆53Updated 2 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Tabular methods for reinforcement learning☆39Updated 5 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Updated 4 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆47Updated 4 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆138Updated last year
- Reinforcement learning library in JAX.☆100Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago