KaleabTessera / DQN-Atari
Deep Q-Learning (DQN) implementation for Atari pong.
☆72Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DQN-Atari
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆132Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆159Updated last month
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆202Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆111Updated last year
- ☆117Updated 3 months ago
- very easy implementation of dueling DQN in pytorch☆68Updated last year
- DQN to play Atari Pong☆111Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆210Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆150Updated 2 weeks ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆294Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆191Updated 5 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆104Updated 8 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆73Updated 9 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated this week
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆268Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆149Updated last year
- The code for maddpg using pytorch☆162Updated 4 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆139Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆280Updated last year
- A plotter for reinforcement learning (RL)☆207Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- Lightweight multi-agent gridworld Gym environment☆194Updated last year
- Collection of OpenAI parametrized action-space environments.☆58Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago