archsyscall / DistRL-TensorFlow2
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
☆68Updated 4 years ago
Alternatives and similar repositories for DistRL-TensorFlow2:
Users that are interested in DistRL-TensorFlow2 are comparing it to the libraries listed below
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 9 months ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated last month
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- Deep Reinforcement Learning for Continuous Control in PyTorch☆99Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆135Updated 11 months ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆160Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated 2 weeks ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆195Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆124Updated 4 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 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
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 9 months ago
- ☆76Updated 11 months ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆210Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆54Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆178Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago