lnpalmer / A2C
PyTorch implementation of Advantage Actor-Critic (A2C)
☆43Updated 6 years ago
Related projects: ⓘ
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Pytorch implementation of distributed deep reinforcement learning☆72Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆101Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- Deep Variational Reinforcement Learning☆132Updated 2 years ago
- ☆79Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆92Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- Random Network Distillation(RND) algo in Pytorch☆48Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆98Updated 3 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆90Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆106Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆65Updated 4 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆72Updated 4 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 6 years ago
- ☆106Updated 4 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 4 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottlen…☆52Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆131Updated last year
- Adaptive Attention Span for Reinforcement Learning☆130Updated 4 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆76Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆231Updated last year
- A repository for code of reinforcement learning algorithms with PyTorch☆29Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆94Updated 3 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆60Updated 3 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆130Updated 5 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆161Updated 5 years ago