MR.Q is a general-purpose model-free reinforcement learning algorithm.
☆144Jun 23, 2025Updated 9 months ago
Alternatives and similar repositories for MRQ
Users that are interested in MRQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆94Nov 4, 2025Updated 4 months ago
- ☆96Jan 9, 2026Updated 2 months ago
- ☆122Feb 25, 2025Updated last year
- Code for the paper "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning". Great performance in many environments…☆38Oct 24, 2025Updated 5 months ago
- Official implementation of the BRO algorithm☆56Jan 29, 2025Updated last year
- [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning☆41Jun 5, 2025Updated 9 months ago
- ☆40Mar 16, 2026Updated last week
- ☆63Jan 30, 2026Updated last month
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Mar 6, 2026Updated 2 weeks ago
- Author's PyTorch implementation of TD7 for online and offline RL☆162Sep 12, 2023Updated 2 years ago
- [ICLR 2024] Adaptive Replay Ratio implementation from 'Revisiting Plasticity in Visual RL: Data, Modules and Training Stages'.☆13Oct 9, 2024Updated last year
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆381Feb 10, 2026Updated last month
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆112May 27, 2024Updated last year
- A dataloader, but for JAX☆20May 17, 2024Updated last year
- ☆19Apr 22, 2024Updated last year
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆252Nov 23, 2025Updated 4 months ago
- ☆22Sep 22, 2022Updated 3 years ago
- Learning Robust Dynamics Through Variational Sparse Gating☆20Oct 19, 2022Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆105May 17, 2022Updated 3 years ago
- The official implementation of "Horizon Reduction Makes RL Scalable"☆182Aug 2, 2025Updated 7 months ago
- Action Value Gradient Algorithm☆28May 18, 2025Updated 10 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆89Jun 4, 2024Updated last year
- ☆10Jun 27, 2024Updated last year
- ☆23Apr 2, 2024Updated last year
- ☆50Sep 18, 2025Updated 6 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆238Nov 24, 2025Updated 4 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year
- The official implementation of flow Q-learning (FQL)☆290Jul 21, 2025Updated 8 months ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Mar 9, 2023Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆72Jan 18, 2024Updated 2 years ago
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆78Feb 19, 2026Updated last month
- [TMLR 2024] Official PyTorch Implementation of Deep Dynamic Latent Particles☆16Feb 8, 2024Updated 2 years ago
- DMControl Generalization Benchmark☆189Jan 3, 2024Updated 2 years ago
- ☆22May 27, 2024Updated last year
- ☆15Jan 18, 2026Updated 2 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Feb 14, 2023Updated 3 years ago
- Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation☆77Aug 2, 2023Updated 2 years ago
- ☆13May 29, 2024Updated last year
- ☆19Oct 27, 2025Updated 4 months ago