Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional Reinforcement Learning".
☆15Dec 19, 2022Updated 3 years ago
Alternatives and similar repositories for Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning
Users that are interested in Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Apr 7, 2021Updated 5 years ago
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆26Jun 17, 2025Updated last year
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆34Oct 10, 2020Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆94Mar 4, 2023Updated 3 years ago
- ☆10Sep 23, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Kinodyanmic Parallel Accelerated eXpansion☆13Sep 9, 2024Updated last year
- Kinematic simulation of mobile robots and LiDARs in a map-defined environment.☆16May 28, 2026Updated 3 weeks ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆27Sep 10, 2024Updated last year
- Policy learning of in-hand manipulation. Proximal policy optimization trains the Allegro hand to learn a stabilizing grasp☆14Feb 5, 2024Updated 2 years ago
- A pytorch implementation of Smooth Model Predictive Path Integral control (SMPPI)☆16Apr 18, 2024Updated 2 years ago
- A chance constraint planning framework using gaussian processes☆13May 14, 2021Updated 5 years ago
- ☆11May 29, 2020Updated 6 years ago
- Package for Vector Quantized-Motion Planning Networks☆12Nov 3, 2023Updated 2 years ago
- [NeurIPS 2023] Code base for the Renyi Kernel Entropy (RKE) metric for generative models.☆14Jun 18, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ROS 2 labs at Centrale Nantes, with Baxter robot☆17Jan 9, 2026Updated 5 months ago
- Risk-sensitive Inverse Reinforcement Learning☆11Sep 11, 2019Updated 6 years ago
- ☆13Sep 27, 2020Updated 5 years ago
- Kernelized Movement Primitives Python implementation☆15Oct 17, 2025Updated 8 months ago
- ☆17Sep 6, 2024Updated last year
- ☆18Aug 3, 2022Updated 3 years ago
- Environments from the papers "Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning" and "I…☆12Aug 15, 2023Updated 2 years ago
- This is the official implementation of "OpenREAD:Reinforced Open-Ended Reasoning for End-to-End Autonomous Driving with LLM-as-Critic"☆43Dec 11, 2025Updated 6 months ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆18Jun 6, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Codebase - Comparing DRL algorithms' ability to safely navigate challenging waters☆17Aug 18, 2021Updated 4 years ago
- Study repo for David Silver's Reinforcement Learning Course☆12Apr 26, 2019Updated 7 years ago
- Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures☆23Feb 21, 2024Updated 2 years ago
- Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment☆17Jun 19, 2023Updated 2 years ago
- POMDP wrappers for OpenAI Gym