luchris429 / popjaxrlLinks
Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
☆110Updated last year
Alternatives and similar repositories for popjaxrl
Users that are interested in popjaxrl are comparing it to the libraries listed below
Sorting:
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆58Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆64Updated 3 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated last year
- ☆82Updated 5 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆109Updated 2 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- ☆81Updated 9 months ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆92Updated 4 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆181Updated 5 months ago
- POPGym Library in JAX☆11Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- Highly scalable 2D JAX physics engine.☆59Updated 5 months ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆18Updated 10 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆93Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆146Updated 2 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- ☆48Updated 2 years ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Updated 2 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆56Updated last week
- General Modules for JAX☆67Updated 4 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆27Updated 4 months ago
- An Open-Ended Agentic Simulator☆52Updated last year
- Accelerated minigrid environments with JAX☆144Updated 2 weeks ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆71Updated last year
- Clean single-file implementation of offline RL algorithms in JAX☆150Updated 8 months ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆59Updated last year