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.
☆18Updated 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:
- Multi-objective reinforcement learning for covid-19 control☆12Updated 4 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆16Updated 3 years ago
- ☆11Updated 5 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆33Updated 4 years ago
- OpenAI Gym environment for Robot Soccer Goal☆18Updated 6 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 6 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆60Updated last year
- ☆20Updated 6 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆35Updated 6 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆51Updated 2 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆13Updated 4 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Updated 2 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆15Updated 4 years ago
- DecentralizedLearning☆25Updated 3 years ago
- ☆12Updated 5 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆17Updated 5 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- An unofficial implementation for online decision transformer☆41Updated 3 years ago
- Attention based model for learning to solve different routing problems☆43Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆44Updated 4 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆28Updated 2 years ago