Improbable-AI / random-latent-explorationLinks
☆28Updated last year
Alternatives and similar repositories for random-latent-exploration
Users that are interested in random-latent-exploration are comparing it to the libraries listed below
Sorting:
- ☆34Updated last month
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆72Updated 2 months ago
- A benchmark for offline goal-conditioned RL and offline RL☆258Updated last week
- Official codebase for "Privileged Sensing Scaffolds Reinforcement Learning", contains the Scaffolder algorithm and Sensory Scaffolding Su…☆30Updated last month
- DAC: Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.☆22Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆80Updated last year
- Official repo for paper "TD-M(PC)^2: Improving Temporal Difference MPC Through Policy Constraint"☆70Updated 8 months ago
- ☆109Updated 8 months ago
- Code for SAPG: Split and Aggregate Policy Gradients (ICML 2024)☆57Updated last year
- PWM: Policy Learning with Large World Models☆58Updated 2 months ago
- Jax/Flax Implementation of TD-MPC2☆66Updated this week
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆61Updated 3 years ago
- ☆32Updated last year
- ☆13Updated last year
- [ICLR 2025] Bootstrapped Model Predictive Control☆22Updated 3 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 10 months ago
- ☆348Updated 2 years ago
- Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)☆22Updated 3 months ago
- Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.☆62Updated 9 months ago
- Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation☆74Updated 2 years ago
- ☆114Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 3 months ago
- Code for "TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning"☆24Updated last year
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆76Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆110Updated last year
- [ICML2025] Official implementation of Efficient Online Reinforcement Learning for Diffusion Policies appearing in ICML 2025.☆32Updated 3 months ago
- ☆55Updated 3 months ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆143Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆111Updated last year
- Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344☆44Updated last year