anagabandi / nn_dynamicsLinks
☆343Updated 7 years ago
Alternatives and similar repositories for nn_dynamics
Users that are interested in nn_dynamics are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning with Deep Energy-Based Policies☆427Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆450Updated 2 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- ☆271Updated 7 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 3 years ago
- Code for hierarchical imitation learning and reinforcement learning☆293Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Bayesian Reinforcement Learning in Tensorflow☆331Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆373Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆214Updated 2 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆638Updated 4 years ago
- Constrained Policy Optimization☆321Updated 8 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆639Updated last year
- ☆392Updated 5 years ago
- Safe reinforcement learning with stability guarantees☆232Updated 3 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆180Updated 7 months ago
- SenseAct: A computational framework for developing real-world robot learning tasks☆221Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago
- Shared autonomy via deep reinforcement learning☆78Updated 2 years ago
- ☆135Updated 6 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☆183Updated 7 years ago