vy007vikas / PyTorch-ActorCriticRL
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
☆409Updated 4 years ago
Alternatives and similar repositories for PyTorch-ActorCriticRL:
Users that are interested in PyTorch-ActorCriticRL are comparing it to the libraries listed below
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆653Updated 6 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆603Updated 6 years ago
- Simple A3C implementation with pytorch + multiprocessing☆638Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆400Updated 7 years ago
- PyTorch implementation of Trust Region Policy Optimization☆440Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆573Updated 7 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆625Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆738Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆335Updated 5 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆508Updated 6 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆695Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆541Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,197Updated 4 years ago
- PyTorch implementation of soft actor critic☆876Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆487Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,267Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆627Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆393Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆564Updated 2 years ago
- Implementation of benchmark RL algorithms☆466Updated 2 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆303Updated 9 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,294Updated last year
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆353Updated 6 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆545Updated 6 months ago
- Code for hierarchical imitation learning and reinforcement learning☆291Updated 7 years ago