The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
☆23Jun 16, 2023Updated 3 years ago
Alternatives and similar repositories for Uncertainty-in-RL
Users that are interested in Uncertainty-in-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Communication-efficient MARL for CACC☆27Aug 7, 2023Updated 3 years ago
- Deploy RL on your Real-World Franka Emika Panda☆14Feb 22, 2026Updated 6 months ago
- Distributed DeeP-LCC for CAV cooperation in mixed traffic☆13Oct 24, 2022Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆47May 6, 2024Updated 2 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.
- Implementation and evaluation of Almanac (Automaton/Logic Multi-Agent Natural Actor-Critic), an algorithm for multi-agent reinforcement l…☆10May 5, 2022Updated 4 years ago
- IEEE Motor Vehicles Challenge 2023☆17May 12, 2023Updated 3 years ago
- Robust Reinforcement Learning Benchmark☆14Sep 22, 2024Updated last year
- Feasibility Consistent Representation Learning for Safe Reinforcement Learning (ICML 2024). Current SOTA model-free safe RL algorithm on …☆17Jul 12, 2024Updated 2 years ago
- A bridge between Python and Matlab Simulink☆40Jun 7, 2020Updated 6 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆59Feb 12, 2025Updated last year
- Thesis Project: Apply Deep Q-Network to develop an Adaptive Cruise Control and Lane Control agent.☆21Jul 6, 2023Updated 3 years ago
- ☆20Nov 3, 2024Updated last year
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆77Feb 25, 2023Updated 3 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.
- Multi-robot Reinforcement Learning Scalable Training School (MRST) is a training and evaluation platform for reinforcement learning rease…☆11Sep 6, 2022Updated 3 years ago
- The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Sign…☆37Aug 28, 2022Updated 4 years ago
- Leading Cruise Control☆22Apr 12, 2024Updated 2 years ago
- This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.☆29Oct 23, 2024Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Mar 4, 2022Updated 4 years ago
- Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch☆12Jun 10, 2019Updated 7 years ago
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆139Jul 6, 2023Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago
- Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach☆24Jul 15, 2021Updated 5 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.
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆58Dec 27, 2023Updated 2 years ago
- ☆83Aug 23, 2022Updated 4 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20May 22, 2022Updated 4 years ago
- ☆18Jul 24, 2023Updated 3 years ago
- Implementations of a large collection of reinforcement learning algorithms.☆28Nov 30, 2023Updated 2 years ago
- Safety-aware MPC-based RL framework☆76Nov 18, 2024Updated last year
- ☆14Jun 29, 2023Updated 3 years ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆22Dec 29, 2024Updated last year
- Official repository of SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens☆16Mar 13, 2026Updated 5 months 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.
- A lightweight reimplementation of Adversarially Trained Actor Critic☆19Mar 19, 2026Updated 5 months ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆11Apr 5, 2024Updated 2 years ago
- End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic☆22Oct 26, 2023Updated 2 years ago
- The Tactile MNIST Active Perception Benchmark☆16Updated this week
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆19Jun 17, 2021Updated 5 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆63Jul 31, 2023Updated 3 years ago
- Large Language Models and Robotics.☆22Apr 27, 2024Updated 2 years ago