cbfinn / maml_rlLinks
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
☆653Updated 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☆864Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆502Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆414Updated 7 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆447Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆242Updated 3 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆416Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,248Updated 4 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- ☆394Updated 6 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆593Updated 4 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆216Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,296Updated 6 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆618Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆654Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆684Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 11 months ago
- Implementation of Meta-RL A3C algorithm☆404Updated 8 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆268Updated 8 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆723Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆641Updated 4 years ago