Mateus224 / Visual-Explanation-in-Deep-Reinforcement-Learning
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.
☆14Updated 4 years ago
Related projects: ⓘ
- Literature and code for inverse reinforcement leanring research☆24Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆58Updated 11 months ago
- Multi-objective reinforcement learning for covid-19 control☆11Updated 3 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆8Updated last year
- Reward Propagation using Graph Convolutional Networks☆13Updated 3 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆24Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆19Updated last year
- Multi-agent active perception with prediction rewards☆10Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆32Updated 2 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆14Updated 3 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆16Updated 2 years ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 4 years ago
- Implicit Distributional Actor Critic☆10Updated 2 years ago
- ☆23Updated last month
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆10Updated last year
- The official implementation of MeDQN algorithm.☆10Updated 7 months ago
- ☆16Updated 3 years ago
- ☆30Updated last month
- Variational Reinforcement Learning☆16Updated last month
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- This repository contains implementations of the paper VUSFA☆12Updated 3 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated 11 months ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆10Updated 11 months ago
- Generalised UDRL☆37Updated 2 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆32Updated 3 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 3 years ago
- ☆20Updated 5 months ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 4 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆20Updated 4 years ago