modelbased / minirllab
Mini RL Lab
☆17Updated 11 months ago
Alternatives and similar repositories for minirllab
Users that are interested in minirllab are comparing it to the libraries listed below
Sorting:
- Unified Implementations of Offline Reinforcement Learning Algorithms☆71Updated 3 weeks ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆45Updated 2 weeks ago
- Various reinforcement learning algorithms written in Jax + Flax☆24Updated last year
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆50Updated last week
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated 3 weeks ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆10Updated last year
- ☆19Updated this week
- ☆77Updated last month
- ☆47Updated 2 years ago
- POPGym Library in JAX☆11Updated last year
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 10 months ago
- Synthetic Experience Replay☆92Updated 11 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 6 months ago
- ☆85Updated 2 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆113Updated 3 years ago
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆31Updated 7 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆73Updated 11 months ago
- An Open-Ended Agentic Simulator☆49Updated 9 months ago
- Highly scalable 2D JAX physics engine.☆56Updated 2 months ago
- Skeleton for scalable and flexible Jax RL implementations☆81Updated last year
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆38Updated last year
- Code for the paper "Harnessing Discrete Representations for Continual Reinforcement Learning"☆14Updated 11 months ago
- ☆42Updated 2 years ago
- Corax: Core RL in JAX☆38Updated last year
- OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning☆14Updated 2 months ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated 6 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 2 months ago
- A collection of matrix games in JAX☆11Updated 5 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆55Updated last year