IndustAI / risk-and-uncertaintyLinks
Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"
☆11Updated last year
Alternatives and similar repositories for risk-and-uncertainty
Users that are interested in risk-and-uncertainty are comparing it to the libraries listed below
Sorting:
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆37Updated last year
- multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)☆11Updated 5 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- ☆11Updated 4 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 5 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆24Updated last year
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆35Updated 4 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 3 years ago
- paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation☆10Updated 7 years ago
- An implementation of five reinforcement learning algorithms to simulate macro actions for the HFO problem.☆9Updated 5 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆23Updated 5 years ago
- ☆26Updated 3 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆17Updated 5 years ago
- ☆42Updated 3 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆15Updated 4 years ago
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 8 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- ☆12Updated 4 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- ☆17Updated 10 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- ☆30Updated 2 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago