facebookresearch / MRQLinks
MR.Q is a general-purpose model-free reinforcement learning algorithm.
☆130Updated 6 months ago
Alternatives and similar repositories for MRQ
Users that are interested in MRQ are comparing it to the libraries listed below
Sorting:
- Simple single-file baselines for Q-Learning in pure-GPU setting☆229Updated last month
- ☆114Updated 10 months ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆183Updated last week
- off-policy RL on long sequences☆155Updated this week
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆82Updated last month
- Clean single-file implementation of offline RL algorithms in JAX☆163Updated last month
- Foundation Policies with Hilbert Representations (ICML 2024)☆104Updated 3 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Synthetic Experience Replay☆107Updated last year
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆207Updated last month
- Challenging Memory-based Deep Reinforcement Learning Agents☆105Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆115Updated last year
- Transformer-based World Models☆86Updated 2 years ago
- Skeleton for scalable and flexible Jax RL implementations☆92Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆52Updated 7 months ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated 2 years ago
- The official implementation of "Horizon Reduction Makes RL Scalable"☆180Updated 4 months ago
- Deep reinforcement learning without experience replay, target networks, or batch updates.☆272Updated 9 months ago
- Repo for Implicit Diffusion Q-Learning☆120Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆112Updated last year
- Benchmarking RL generalization in an interpretable way.☆173Updated last month
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆120Updated last year
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆30Updated 2 weeks ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆111Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- ☆246Updated last year
- ☆89Updated last year
- ☆43Updated last year