Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
☆58Feb 3, 2023Updated 3 years ago
Alternatives and similar repositories for sac-rnd
Users that are interested in sac-rnd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Worksho…☆21Feb 27, 2023Updated 3 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆63Aug 3, 2023Updated 2 years ago
- ☆10Jun 27, 2024Updated 2 years ago
- Official implementation for "Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows", NeurIPS 2022, O…☆12Jan 31, 2023Updated 3 years ago
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆43Aug 22, 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.
- ☆19Jun 25, 2023Updated 3 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56May 21, 2023Updated 3 years ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆84Feb 13, 2025Updated last year
- Code for the paper "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters", ICML 2022☆28Jul 10, 2022Updated 3 years ago
- A lightweight reimplementation of Adversarially Trained Actor Critic☆19Mar 19, 2026Updated 3 months ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆18Aug 8, 2022Updated 3 years ago
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆32Oct 12, 2023Updated 2 years ago
- Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025☆51May 23, 2025Updated last year
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 7 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Примеры пропозалов для подачи заявки в Open.TLab☆27Dec 15, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Oct 29, 2023Updated 2 years ago
- ☆36Nov 22, 2024Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆79Jun 23, 2023Updated 3 years ago
- Jaxpr Visualisation Tool☆37Dec 22, 2024Updated last year
- Synthetic Experience Replay☆114Apr 16, 2026Updated 2 months ago
- Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —☆305Sep 8, 2025Updated 10 months ago
- "Probabilistic Embeddings Revisited" paper official repository☆31Dec 30, 2022Updated 3 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆21May 18, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A curated list of awesome memory in reinforcement learning research materials☆24Sep 5, 2021Updated 4 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆24Oct 28, 2024Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- [NeurIPS 2024] Doubly Mild Generalization for Offline Reinforcement Learning☆17Oct 29, 2025Updated 8 months ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Feb 9, 2023Updated 3 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆22Jun 24, 2023Updated 3 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 3 years ago
- 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.
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆63Apr 29, 2024Updated 2 years ago
- GULAG: GUessing LAnGuages with neural networks☆13May 4, 2022Updated 4 years ago
- Code for the paper "PALBERT: Teaching ALBERT to Ponder", NeurIPS 2022 Spotlight☆37Apr 8, 2023Updated 3 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆24Feb 15, 2023Updated 3 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆19Oct 22, 2023Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆88Feb 14, 2023Updated 3 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Feb 14, 2024Updated 2 years ago