cbfinn / maml_rlLinks
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
☆660Updated 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☆870Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Updated 3 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆419Updated 8 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆434Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆371Updated 6 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆453Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆245Updated 3 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆418Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆623Updated 7 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,259Updated 4 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆594Updated 5 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,302Updated 6 years ago
- Implementation of Meta-RL A3C algorithm☆405Updated 8 years ago
- ☆398Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆726Updated 7 years ago
- ☆273Updated 7 years ago
- Constrained Policy Optimization☆334Updated 8 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆267Updated 8 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆516Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago