cbfinn / maml_rlLinks
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
☆639Updated 2 years ago
Alternatives and similar repositories for maml_rl
Users that are interested in maml_rl are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆856Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆491Updated 2 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆561Updated 6 years ago
- PyTorch implementation of Trust Region Policy Optimization☆442Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆212Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,217Updated 4 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆401Updated 7 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 5 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆411Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,274Updated 5 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,644Updated 5 years ago
- Implementation of Meta-RL A3C algorithm☆403Updated 8 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆680Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆631Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆607Updated 6 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆565Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆591Updated 4 years ago
- ☆391Updated 5 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆206Updated 3 years ago
- Constrained Policy Optimization☆321Updated 7 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆342Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆494Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆712Updated 6 years ago