Omegastick / pytorch-cpp-rlLinks
PyTorch C++ Reinforcement Learning
☆523Updated 5 years ago
Alternatives and similar repositories for pytorch-cpp-rl
Users that are interested in pytorch-cpp-rl are comparing it to the libraries listed below
Sorting:
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)☆96Updated 5 years ago
- Structural implementation of RL key algorithms☆513Updated 2 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,307Updated last year
- C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning☆200Updated 8 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 7 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆753Updated last year
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆238Updated 2 years ago
- Keeping track of RL experiments☆161Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆898Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆701Updated 2 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆409Updated 3 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,277Updated 5 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆566Updated 2 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆633Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆642Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆442Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 5 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆397Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆582Updated 7 years ago
- C++ implementation of Proximal Policy Optimization☆84Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,217Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆495Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆601Updated 10 months ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 7 months ago
- A parallel framework for population-based multi-agent reinforcement learning.☆531Updated last year