Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
☆125Oct 21, 2021Updated 4 years ago
Alternatives and similar repositories for visualize_atari
Users that are interested in visualize_atari are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆36Jan 20, 2023Updated 3 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆173Jul 31, 2021Updated 4 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Feb 23, 2017Updated 9 years ago
- [NeurIPS, 2020 - Reproducibility Challenge]: [RE] Towards Interpretable Reinforcement Learning Using Attention Augmented Agents☆13Apr 26, 2021Updated 4 years ago
- ☆11Feb 20, 2020Updated 6 years ago
- Self-Supervised Attention-Aware Reinforcement Learning☆18May 20, 2022Updated 3 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Jun 17, 2019Updated 6 years ago
- Anomalous versions of OpenAI Gym and PyBullet3 environments☆15Oct 24, 2021Updated 4 years ago
- Process Simulations Meet AI. Supercharge Your Process Engineering. Generate Infinite Data, Train Advanced Models, and Revolutionise Indus…☆11Oct 8, 2024Updated last year
- Implementation of Relational Deep Reinforcement Learning☆25Jan 31, 2020Updated 6 years ago
- Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"☆12Jul 12, 2021Updated 4 years ago
- A2C, ACKTR and A2T implementations for ViZDoom☆10Dec 18, 2017Updated 8 years ago
- Ant Gather and Ant Maze envs, separated from RLLab☆11Aug 2, 2018Updated 7 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆207Nov 22, 2018Updated 7 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆56Apr 27, 2020Updated 5 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆258Nov 2, 2023Updated 2 years ago
- The Machine Learning Toybox for testing the behavior of autonomous agents.☆27Apr 1, 2022Updated 3 years ago
- ☆45May 12, 2024Updated last year
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202May 25, 2020Updated 5 years ago
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Mar 29, 2021Updated 4 years ago
- Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).☆52Dec 11, 2024Updated last year
- MAGNet: Multi-agents control using Graph Neural Networks☆132Mar 28, 2019Updated 6 years ago
- Reproduce ICLR2018 submission "Emergent Communication through Negotiation"☆17Apr 19, 2018Updated 7 years ago
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆52Dec 8, 2022Updated 3 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Apr 18, 2023Updated 2 years ago
- ☆121Feb 21, 2019Updated 7 years ago
- Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"☆11Oct 4, 2023Updated 2 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Nov 26, 2020Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Jun 24, 2020Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Apr 17, 2018Updated 7 years ago
- Implementation of the Recurrent Implicit Quantile Networks (RIQNs), used as a baseline in the OOD detection in the anomalous RL benchmark☆14Oct 24, 2021Updated 4 years ago
- ☆22Nov 8, 2021Updated 4 years ago
- [ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation☆106Apr 9, 2019Updated 6 years ago
- Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)☆238Apr 16, 2018Updated 7 years ago
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆21May 22, 2021Updated 4 years ago
- A codebase for experimenting with various approaches to action priors.☆18Jul 14, 2018Updated 7 years ago
- yet another reinforcement learning package☆12May 24, 2022Updated 3 years ago
- Reinforcement learning with unsupervised auxiliary tasks☆23Jan 10, 2019Updated 7 years ago