navneet-nmk / Pytorch-RL-CPP
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
☆95Updated 5 years ago
Alternatives and similar repositories for Pytorch-RL-CPP:
Users that are interested in Pytorch-RL-CPP are comparing it to the libraries listed below
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Keeping track of RL experiments☆161Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- C++ implementation of Proximal Policy Optimization☆83Updated 2 years ago
- PyTorch C++ Reinforcement Learning☆523Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- OpenAI Gym wrapper for ViZDoom enviroments☆69Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 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
- C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning☆199Updated 8 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆212Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆221Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆305Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆261Updated 2 years ago
- A C++ pytorch implementation of MuZero☆38Updated last year
- Random Network Distillation pytorch☆247Updated 6 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆101Updated 2 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆237Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- C++ library for reinforcement learning☆53Updated 2 years ago