haarnoja / softqlearning
Reinforcement Learning with Deep Energy-Based Policies
☆421Updated last year
Alternatives and similar repositories for softqlearning:
Users that are interested in softqlearning are comparing it to the libraries listed below
- Implementation of algorithms for continuous control (DDPG and NAF).☆308Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆362Updated 4 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Constrained Policy Optimization☆317Updated 7 years ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 6 months ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- ☆390Updated 5 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 4 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆212Updated 7 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆707Updated 6 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆216Updated 5 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Updated 6 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆625Updated 11 months ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆445Updated last year
- Multitask Environments for RL☆275Updated 3 years ago
- ☆342Updated 7 years ago
- Implementation of Meta-RL A3C algorithm☆403Updated 8 years ago
- ☆272Updated 6 years ago
- implement of prioritized experience replay☆160Updated 6 years ago
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆320Updated 4 years ago