tristandeleu / pytorch-maml-rlLinks
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
☆863Updated 2 years ago
Alternatives and similar repositories for pytorch-maml-rl
Users that are interested in pytorch-maml-rl are comparing it to the libraries listed below
Sorting:
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆651Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆501Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆446Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,245Updated 4 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆412Updated 7 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆593Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆682Updated 4 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆447Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆639Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆414Updated 4 years ago
- ☆394Updated 6 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,290Updated 5 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆351Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆618Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- A PyTorch Platform for Distributed RL☆750Updated 3 years ago
- PyTorch implementation of soft actor critic☆904Updated last month
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,339Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆261Updated 5 years ago
- Constrained Policy Optimization☆325Updated 8 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,643Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆702Updated last year
- Actor-critic with experience replay☆254Updated 2 years ago
- ☆274Updated 7 years ago