☆40Nov 23, 2021Updated 4 years ago
Alternatives and similar repositories for NovelD
Users that are interested in NovelD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Jul 18, 2023Updated 2 years ago
- DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards☆26May 6, 2024Updated 2 years ago
- Change-Based Exploration Transfer☆35Apr 24, 2022Updated 4 years ago
- impact-driven-exploration☆136Oct 3, 2023Updated 2 years ago
- ☆19Jul 18, 2021Updated 4 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.
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆24Dec 29, 2023Updated 2 years ago
- Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".☆87Mar 22, 2024Updated 2 years ago
- ☆18Jun 8, 2023Updated 3 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago
- ☆16Feb 1, 2022Updated 4 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Mar 9, 2021Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆37Dec 7, 2020Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆104Mar 24, 2023Updated 3 years ago
- ☆31Jul 1, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆49Feb 23, 2019Updated 7 years ago
- Latent World Models For Intrinsically Motivated Exploration | Official repository☆23Apr 28, 2021Updated 5 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Oct 21, 2022Updated 3 years ago
- ☆57Nov 5, 2024Updated last year
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆133Aug 14, 2023Updated 2 years ago
- Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics☆15Jan 7, 2020Updated 6 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆58Mar 24, 2023Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆24Apr 8, 2024Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Jan 2, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 4 years ago
- Hindsight policy gradients☆46Jan 31, 2020Updated 6 years ago
- ☆19Jun 25, 2023Updated 2 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Jul 29, 2021Updated 4 years ago
- PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment☆12Feb 22, 2019Updated 7 years ago
- Made for a reading group at the Center for Safe AGI.☆12Feb 23, 2026Updated 3 months ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Aug 6, 2019Updated 6 years ago
- ☆24Jan 26, 2024Updated 2 years ago
- N-Layered FeUdal Networks based on FeUdal Networks adapted to suit PySC2 observations☆19Sep 17, 2019Updated 6 years 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.
- Code base for publication: Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems☆10Feb 1, 2023Updated 3 years ago
- PyTorch implementation for the Deep Symbolic Simplification Without Human Knowledge☆14Feb 25, 2021Updated 5 years ago
- Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline☆11Aug 7, 2020Updated 5 years ago
- ☆17Nov 18, 2024Updated last year
- Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting☆13Jul 8, 2024Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- ☆12Jan 3, 2020Updated 6 years ago