shagunm1210 / Playing-Breakout-with-A3C-algorithim
Using the deep reinforcement learning algorithm A3C to train my agent to play the Atari game Breakout!
☆32Updated 6 years ago
Alternatives and similar repositories for Playing-Breakout-with-A3C-algorithim
Users that are interested in Playing-Breakout-with-A3C-algorithim are comparing it to the libraries listed below
Sorting:
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆116Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Using N-step dueling DDQN with PER for playing Pacman game☆22Updated 5 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆177Updated 7 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- ☆85Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆86Updated last year
- ☆75Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 6 months ago
- DQN to play Atari Pong☆115Updated 6 years ago
- BranchingDQN☆50Updated 6 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆231Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- An RL agent for the Google Football environment☆96Updated 3 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆68Updated 4 years ago
- Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout☆93Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆104Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- A code reimplementation of DeepMind's "Multiagent Cooperation and Competition with Deep Reinforcement Learning" with Tensorflow☆15Updated 7 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- ☆185Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 3 weeks ago