On-Policy Policy Gradient Algorithms in JAX
☆42Jan 25, 2024Updated 2 years ago
Alternatives and similar repositories for PolicyGradientsJax
Users that are interested in PolicyGradientsJax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Various reinforcement learning algorithms written in Jax + Flax☆26Jun 24, 2023Updated 2 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆65Jan 2, 2026Updated 2 months ago
- Decision Transformer JAX - Reproduction of 'Decision Transformer: Reinforcement Learning via Sequence Modeling' in JAX and Haiku☆13Aug 14, 2024Updated last year
- ☆16Aug 2, 2022Updated 3 years ago
- 3rd placed submission to the NeurIPS MineRL competition 2019☆10Mar 24, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper☆21Jul 14, 2024Updated last year
- ☆19Apr 22, 2024Updated last year
- [NeurIPS 2025] Encoder-Decoder Diffusion Language Models for Efficient Training and Inference☆36Oct 29, 2025Updated 4 months ago
- ☆29Mar 20, 2024Updated 2 years ago
- Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces☆49Apr 1, 2024Updated last year
- Computes trajectories for evolutionary dynamics.☆15Oct 6, 2020Updated 5 years ago
- [deprecated] Engine Agnostic Gym Environment for Robotics☆17Feb 10, 2022Updated 4 years ago
- High quality implementations of imitation and inverse reinforcement learning algorithms☆24Aug 19, 2025Updated 7 months ago
- An implementation of DreamerV2 written in JAX, with support for running multiple random seeds of an experiment on a single GPU.☆18Jan 16, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆112Dec 5, 2023Updated 2 years ago
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Oct 5, 2024Updated last year
- ☆23Aug 19, 2022Updated 3 years ago
- Official repository for our paper on "Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models"☆13Dec 4, 2023Updated 2 years ago
- ☆12Jan 25, 2026Updated 2 months ago
- Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression☆11Feb 25, 2018Updated 8 years ago
- ☆18Jul 25, 2024Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Jun 19, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Jan 7, 2025Updated last year
- 심층강화학습 책 https://hiddenbeginner.github.io/Deep-Reinforcement-Learnings☆11May 10, 2024Updated last year
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Apr 27, 2021Updated 4 years ago
- ☆11Jun 7, 2023Updated 2 years ago
- An RNN-based reinforcement learning model☆11Jun 29, 2023Updated 2 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆13Apr 10, 2023Updated 2 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆20Oct 28, 2022Updated 3 years ago
- The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…☆71Jul 17, 2023Updated 2 years ago
- ☆20Jan 15, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- PX4 avoidance ROS node for obstacle detection and avoidance.☆18Aug 9, 2021Updated 4 years ago
- SGD (stochastic gradient descent) with OGR - online gradient regression Hessian estimator☆16May 11, 2023Updated 2 years ago
- ☆15Apr 5, 2023Updated 2 years ago
- A collection of RL algorithms written in JAX.☆105Jul 5, 2022Updated 3 years ago
- ☆16Jul 16, 2024Updated last year
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆15Jul 25, 2023Updated 2 years ago
- A Julia package for consensus-based optimisation☆16Mar 9, 2026Updated 2 weeks ago