BY571 / FQF-and-Extensions
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
☆28Updated 3 years ago
Related projects: ⓘ
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆40Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆77Updated last year
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆44Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆92Updated 4 years ago
- FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for At…☆40Updated 3 years ago
- Qiita投稿用に作成したAgent57(強化学習)の実装コードです。☆45Updated last year
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆25Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆72Updated 2 years ago
- PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner☆26Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 4 years ago
- Random Network Distillation(RND) algo in Pytorch☆48Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 4 years ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆49Updated 2 years ago
- Distributional Soft Actor Critic☆49Updated 4 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆55Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆42Updated last year
- A simple framework for distributed reinforcement learning in PyTorch.☆16Updated 4 years ago
- Soft Actor-Critic with advanced features☆47Updated 3 weeks ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆11Updated 3 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 5 years ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆49Updated last month
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆150Updated 2 years ago
- ☆29Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆27Updated 3 weeks ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- PyTorch IMPALA implementation☆24Updated 5 years ago