KohlerHECTOR / interpreter-py
Implementation of Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning (Kohler, Delfosse, et. al. 2024).
☆13Updated 8 months ago
Alternatives and similar repositories for interpreter-py
Users that are interested in interpreter-py are comparing it to the libraries listed below
Sorting:
- The core repository of the elsciRL framework.☆16Updated last week
- POPGym Library in JAX☆11Updated last year
- ☆42Updated 2 years ago
- ☆36Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆74Updated 11 months ago
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆22Updated 2 months ago
- ☆31Updated last year
- ☆23Updated 2 years ago
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆21Updated 3 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated last year
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated 2 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated last year
- ICML paper on Shapley Values for Explaining Reinforcement Learning. XRL feature-influence method.☆19Updated last year
- ☆18Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆12Updated 9 months ago
- Synchronized Curriculum Learning for RL Agents☆45Updated 2 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- ☆16Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆38Updated 2 years ago
- Platform for training generalizable deep reinforcement learning agents☆9Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 10 months ago
- ☆23Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- ☆17Updated last year
- ☆24Updated last year
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆18Updated 4 years ago
- ☆21Updated last year
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Updated last year