Mateus224 / Visual-Explanation-in-Deep-Reinforcement-LearningLinks
This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation, Guided Backpropagation, GradCam and Guided gradCam. It shows why the agent is performing the action. Which pixels had the biggest influence on the decision of the agent.
☆17Updated 5 years ago
Alternatives and similar repositories for Visual-Explanation-in-Deep-Reinforcement-Learning
Users that are interested in Visual-Explanation-in-Deep-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Implicit Distributional Actor Critic☆11Updated 3 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆21Updated 5 months ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- ☆31Updated 4 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- ☆11Updated 4 years ago
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆15Updated 4 years ago
- Literature and code for inverse reinforcement leanring research☆30Updated 5 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 9 months ago
- This repository contains an attempt at using Graph Attention based Reinforcement Learning for graphical state space. The code also provid…☆10Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 3 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Updated 3 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated 11 months ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆27Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆15Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Updated last year
- The official implementation of Memory-efficient DQN algorithm.☆10Updated last year
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago