mmuppidi / DQN-Atari-PongLinks
This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a toolkit to develop and compare reinforcement learning algorithms. The learning agent takes raw pixels from the atari emulator and predicts an action that is fed back into the emulator via OpenAI interface. The …
☆10Updated 7 years ago
Alternatives and similar repositories for DQN-Atari-Pong
Users that are interested in DQN-Atari-Pong are comparing it to the libraries listed below
Sorting:
- Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk☆9Updated 4 years ago
- Towards Better Interpretability in Deep Q-Networks (Codebase)☆9Updated 5 years ago
- Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.☆7Updated 6 years ago
- DQN based RL agent for Mountain Car☆13Updated 8 years ago
- Asynchronous implementation of DQN algorithm in PyTorch☆8Updated 5 years ago
- A PyTorch Implementation for Deep Q Network☆7Updated 6 years ago
- A PyTorch implementation of deep Q-learning for Atari games☆14Updated 6 years ago
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆14Updated 4 months ago
- A DQN implementation using Keras and Tensorflow☆12Updated 6 years ago
- Implementation of Dueling Network Architectures for Deep Reinforcement Learning paper with Pytorch☆10Updated 4 years ago
- ☆19Updated 6 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Updated 3 months ago
- This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.☆6Updated 6 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)☆33Updated 3 years ago
- Reinforcement learning algorithm implementation☆10Updated 3 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 5 years ago
- This is pytorch implmentation project of Bootsrapped DQN☆12Updated 4 years ago
- PyTorch implementation of DeepMind's "Human-level control through deep reinforcement learning"☆18Updated 5 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆15Updated 7 years ago
- My implementation of a deep q learning network learning to play pong.☆9Updated 4 years ago
- All the source codes and lectures of reinforcement learning.☆31Updated 5 years ago
- Implementations of Coursera Reinforcement Learning Specialization☆45Updated 5 years ago
- ☆12Updated 3 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Updated 3 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆11Updated 4 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"☆8Updated 3 years ago
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.☆37Updated 2 years ago