proroklab / ffmLinks
Reinforcement Learning with Fast and Forgetful Memory
☆24Updated last year
Alternatives and similar repositories for ffm
Users that are interested in ffm are comparing it to the libraries listed below
Sorting:
- Benchmarking RL generalization in an interpretable way.☆159Updated last month
- Simple single-file baselines for Q-Learning in pure-GPU setting☆176Updated 4 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 11 months ago
- ☆47Updated 2 years ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆88Updated 3 months ago
- Partially Observable Process Gym☆196Updated 2 months ago
- ☆82Updated 4 months ago
- ☆48Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆107Updated last month
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆230Updated 2 months ago
- General Modules for JAX☆67Updated 4 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆55Updated last week
- Clean single-file implementation of offline RL algorithms in JAX☆150Updated 7 months ago
- ☆40Updated last year
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆179Updated 2 months ago
- A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.☆82Updated 3 weeks ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆147Updated 2 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆90Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆59Updated 2 months ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆109Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆84Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆107Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆78Updated last year
- JAX implementation of RL algorithms and vectorized environments☆47Updated last year
- Reinforcement learning library in JAX.☆100Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated last year