Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
☆41Feb 9, 2026Updated 2 months ago
Alternatives and similar repositories for Plasticine
Users that are interested in Plasticine are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Collection of resources on plasticity loss in deep reinforcement learning☆23Nov 12, 2024Updated last year
- [ICLR 2024] Adaptive Replay Ratio implementation from 'Revisiting Plasticity in Visual RL: Data, Modules and Training Stages'.☆13Oct 9, 2024Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆99Nov 4, 2025Updated 6 months ago
- Code for the paper "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning". Great performance in many environments…☆38Oct 24, 2025Updated 6 months ago
- ☆125Feb 25, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official implementation of DEMO3☆67Jul 29, 2025Updated 9 months ago
- Official implementation for "How Should We Meta-Learn Reinforcement Learning Algorithms?"☆23Sep 7, 2025Updated 7 months ago
- A framework for evaluating LLMs in Atari games☆15Apr 21, 2025Updated last year
- Unofficial baselines for ManiSkill, including RL and BC algorithms.☆20Jun 6, 2024Updated last year
- [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning☆41Jun 5, 2025Updated 10 months ago
- Code for the paper "On the Importance of Feature Decorrelation for Unsupervised Representation Learning for RL" (ICML 2023)☆12Jun 13, 2023Updated 2 years ago
- This repository is the official implementation of the TRAC optimizer in Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement …☆35May 2, 2025Updated last year
- Related papers for Continual Reinforcement Learning.☆48Feb 8, 2026Updated 2 months ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆23Dec 29, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- JAX implementation of WSRL and RL baselines | ICLR 2025☆134Feb 26, 2026Updated 2 months ago
- Agar.io for Continual Reinforcement Learning☆24Jul 24, 2025Updated 9 months ago
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆77Feb 19, 2026Updated 2 months ago
- ☆292Nov 28, 2025Updated 5 months ago
- ☆111Jan 9, 2026Updated 3 months ago
- Representation Learning for RL☆130Feb 27, 2023Updated 3 years ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆213Dec 19, 2025Updated 4 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆239Nov 24, 2025Updated 5 months ago
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆24Mar 5, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official Code for "Relative Entropy Pathwise Policy Optimization"☆53Feb 27, 2026Updated 2 months ago
- Action Value Gradient Algorithm☆28May 18, 2025Updated 11 months ago
- Official repository for "Investigating Pre-Training Objectives for Generalization in Visual Reinforcement Learning" (ICML 2024)☆11Sep 16, 2025Updated 7 months ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Jul 27, 2021Updated 4 years ago
- ☆63Jan 30, 2026Updated 3 months ago
- Implementation of PSGD optimizer in JAX☆35Dec 31, 2024Updated last year
- ☆42Apr 19, 2026Updated 2 weeks ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆106May 17, 2022Updated 3 years ago
- paper on dexpilot☆15Oct 14, 2019Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A list of papers regarding generalization in (deep) reinforcement learning☆155Aug 12, 2023Updated 2 years ago
- Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)☆22Jul 21, 2025Updated 9 months ago
- PWM: Policy Learning with Large World Models☆65Aug 4, 2025Updated 9 months ago
- DreamSmooth: Improving Model-Based RL with Reward Smoothing (ICLR 2024)☆12May 6, 2024Updated last year
- RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random ne…☆461Apr 4, 2025Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆121Jul 31, 2024Updated last year
- Benchmarking of Neural Network Architectures in Reinforcement Learning.☆38Jan 22, 2026Updated 3 months ago