Omegastick / pytorch-cpp-rl
PyTorch C++ Reinforcement Learning
☆511Updated 4 years ago
Related projects: ⓘ
- A PyTorch Platform for Distributed RL☆737Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆411Updated 9 months ago
- Code for the paper "Exploration by Random Network Distillation"☆873Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,198Updated 9 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,092Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆431Updated 6 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆662Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆554Updated last year
- ☆332Updated 6 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆980Updated 5 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆366Updated 5 years ago
- Structural implementation of RL key algorithms☆506Updated last year
- C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning☆193Updated 8 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆471Updated last year
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆440Updated 5 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆651Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆563Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,565Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated 2 months ago
- Reinforcement Learning in PyTorch☆2,219Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,223Updated 4 years ago
- Soft Actor-Critic☆970Updated 9 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆653Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,052Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆359Updated 2 years ago
- Deep Reinforcement Learning with pytorch & visdom☆798Updated 4 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆605Updated 3 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆793Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆608Updated last year
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 5 months ago