Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)
☆22Aug 1, 2021Updated 4 years ago
Alternatives and similar repositories for CODAC
Users that are interested in CODAC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Nov 22, 2023Updated 2 years ago
- Official Github Repository for "Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees". (NeurIPS 2024)☆11Nov 30, 2025Updated 6 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Dec 4, 2023Updated 2 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 4 years ago
- Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.☆38Mar 29, 2022Updated 4 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.
- Scaling safe exploration to vision control☆14Feb 19, 2025Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- An open source reinforcement learning codebase with a variety of intrinsic exploration methods implemented in PyTorch.☆11Feb 6, 2023Updated 3 years ago
- Deep PILCO PyTorch Implementation☆15Mar 25, 2023Updated 3 years ago
- Build and Train Neural Networks in Emacs Lisp☆15May 22, 2024Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago
- Implementation of Robust Adversarial Reinforcement Learning☆14Nov 27, 2017Updated 8 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆94Mar 4, 2023Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆192Jul 25, 2024Updated last year
- 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.
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 7 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Feb 9, 2021Updated 5 years ago
- safety analysis for hard-to-specify failures☆31Apr 19, 2026Updated last month
- Diffusing States and Matching Scores: A New Framework for Imitation Learning☆22Nov 16, 2024Updated last year
- NeurIPS[2023] "Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations" official implement☆12Feb 19, 2024Updated 2 years ago
- ☆10Apr 8, 2024Updated 2 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Oct 3, 2023Updated 2 years ago
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆76Mar 22, 2024Updated 2 years ago
- A Deep Reinforcement Learning Strategy and Framework for Floating Waste Capture☆13Mar 13, 2025Updated last year
- 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.
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,063May 23, 2024Updated 2 years ago
- Gym environments modified with adversarial agents☆36Mar 21, 2017Updated 9 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆31Jul 27, 2021Updated 4 years ago
- ☆12Sep 15, 2021Updated 4 years ago
- ☆11Feb 11, 2024Updated 2 years ago
- The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…☆12Jul 14, 2021Updated 4 years ago
- Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures (CoRL 2025)☆29Sep 23, 2025Updated 8 months ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆11Apr 5, 2024Updated 2 years ago
- repository for "Exploiting Proximity-Aware Tasks for Embodied Social Navigation" paper code☆12Nov 16, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts☆19Jun 21, 2022Updated 3 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆34Dec 7, 2024Updated last year
- Code for RSS 2025 paper "Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning …☆46Jun 18, 2025Updated 11 months ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆30Jan 12, 2023Updated 3 years ago
- Recent deep generative models are able to provide photo-realistic images as well as visual or textual content embeddings useful to addres…☆21Dec 8, 2022Updated 3 years ago
- GoLU, a novel, self-gated and element-wise activation function that performs well over a diverse set of tasks☆26Oct 4, 2025Updated 8 months ago
- BASALT Benchmark datasets, evaluation code and agent training example.☆22Nov 29, 2023Updated 2 years ago