kcg2015 / DDPG_numpy_onlyLinks
Implemenation of DDPG with numpy only (without Tensorflow)
☆14Updated 7 years ago
Alternatives and similar repositories for DDPG_numpy_only
Users that are interested in DDPG_numpy_only are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Updated 6 years ago
- Notes on many interesting RL papers☆26Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆178Updated 4 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 9 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago
- Deep Variational Reinforcement Learning☆139Updated 3 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 3 years ago
- Hierarchical Online Planning and Reinforcement Learning on Taxi☆32Updated 8 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Implementation of DDPG+HER on gym robotics environment FetchReach-v1☆33Updated 7 years ago
- ☆28Updated 6 years ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Updated 7 years ago
- ☆345Updated 8 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆260Updated last year
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆195Updated 3 years ago
- Model-based Reinforcement Learning Framework☆115Updated 5 years ago
- ☆77Updated 8 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 7 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 4 years ago
- Implementation of Behavioral Cloning from Observationmentation☆16Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Updated 3 years ago
- ☆92Updated 2 years ago
- Multitask Environments for RL☆281Updated 4 years ago
- Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.☆12Updated 6 years ago