l5shi / Multi-DDPG-with-parameter-noiseLinks
New reinforcement algorithm base on DDPG
☆18Updated 6 years ago
Alternatives and similar repositories for Multi-DDPG-with-parameter-noise
Users that are interested in Multi-DDPG-with-parameter-noise are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning in Vrep☆15Updated 5 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆14Updated 8 years ago
- Recurrent Deterministic Policy Gradient actor-critic based Reinforcement Learning algorithm in Action☆37Updated 8 months ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- ☆80Updated 5 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 2 months ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆80Updated 5 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- Code for the ICRA2018 paper "Learning with training wheels: Speeding up training with a simple controller for Deep Reinforcement Learning…☆37Updated 6 years ago
- Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm☆79Updated 8 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 7 years ago
- Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)☆21Updated 7 years ago
- ☆10Updated 4 years ago
- Modular Multi-Objective Reinforcement Learning with Decision Values☆25Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 2 years ago
- Multi-Objective Reinforcement Learning sandbox☆12Updated 3 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆24Updated 6 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆16Updated 5 years ago
- A Universal Deep Reinforcement Learning Framework☆71Updated 2 years ago
- Soft Actor-Critic with advanced features☆51Updated 2 weeks ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- ☆21Updated 2 years ago
- Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment☆74Updated 2 years ago
- An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Ga…☆61Updated 8 years ago