jingweiz / pytorch-rl
Deep Reinforcement Learning with pytorch & visdom
☆797Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-rl
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,099Updated 7 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆690Updated 5 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆441Updated 5 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆562Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,107Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆386Updated 7 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆264Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆416Updated 11 months ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆987Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆666Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,419Updated last year
- Code for the paper "Exploration by Random Network Distillation"☆879Updated 4 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated 3 weeks ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆307Updated 3 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆622Updated last year
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆655Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 4 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆393Updated 3 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 5 years ago
- Implementation of TRPO and related algorithms☆620Updated 6 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆391Updated 6 years ago
- Implementation of Meta-RL A3C algorithm☆400Updated 7 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆555Updated 3 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆267Updated 5 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆828Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆622Updated last year
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆275Updated 6 years ago