Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
☆194Sep 19, 2024Updated last year
Alternatives and similar repositories for ReinforcementLearning-AtariGame
Users that are interested in ReinforcementLearning-AtariGame are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A3C LSTM Atari with Pytorch plus A3G design☆564Apr 18, 2023Updated 3 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆14Mar 19, 2018Updated 8 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Jul 4, 2018Updated 8 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆24Nov 29, 2018Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Oct 11, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Feb 20, 2020Updated 6 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆93Jun 21, 2017Updated 9 years ago
- An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.☆29Oct 18, 2017Updated 8 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆28Dec 31, 2016Updated 9 years ago
- Use tensorflow2 achieve PPO to play atari game☆13Oct 25, 2019Updated 6 years ago
- DQN to play Atari Pong☆112Jan 15, 2019Updated 7 years ago
- Gym-like extensions for POMDP☆56Feb 28, 2021Updated 5 years ago
- Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.☆16Dec 26, 2023Updated 2 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Dec 8, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Jul 31, 2021Updated 5 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,336Sep 25, 2019Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Jul 30, 2018Updated 8 years ago
- Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…☆33Sep 17, 2018Updated 7 years ago
- deep-reinforcement-learning☆16Mar 16, 2019Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Jul 19, 2018Updated 8 years ago
- Reinforcement learning in 3D.☆21Mar 29, 2017Updated 9 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆29Mar 7, 2018Updated 8 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,903May 29, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆392May 20, 2023Updated 3 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆47Nov 25, 2017Updated 8 years ago
- AI research environment for the Atari 2600 games 🤖.☆262Aug 30, 2022Updated 4 years ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Oct 11, 2018Updated 7 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆49Feb 23, 2019Updated 7 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Aug 5, 2017Updated 9 years ago
- This repository contains the Python code for a audio classification system designed to detect gunshots in urban settings.☆15Jul 18, 2023Updated 3 years ago
- Hierarchical Online Planning and Reinforcement Learning on Taxi☆32Oct 23, 2017Updated 8 years ago
- Qt-like event loops, signals and slots for communication across threads and processes in Python☆14Mar 26, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Problem Statement A smart city needs smart mobility, and to achieve this objective, the travel should be made convenient through sustain…☆20Apr 8, 2019Updated 7 years ago
- Gym wrapper for pysc2☆10Sep 16, 2022Updated 3 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆45Nov 6, 2023Updated 2 years ago
- [DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation☆52Feb 4, 2020Updated 6 years ago
- a modular reinforcement learning library with JAX agents☆27Mar 3, 2025Updated last year
- Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Thea…☆44Feb 27, 2018Updated 8 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,452Apr 16, 2024Updated 2 years ago