tristandeleu / pytorch-maml-rlLinks
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
☆871Updated 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"☆660Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,261Updated 4 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆595Updated 5 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆453Updated 6 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆419Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆624Updated 7 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆422Updated 8 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆246Updated 3 years ago
- A PyTorch Platform for Distributed RL☆752Updated 4 years ago
- ☆397Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆651Updated 4 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆372Updated 6 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,306Updated 6 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆313Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆690Updated this week
- PyTorch implementation of soft actor critic☆926Updated 5 months ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆657Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,381Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Code for hierarchical imitation learning and reinforcement learning☆300Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆521Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆267Updated 5 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,658Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆560Updated 2 years ago