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 -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)☆18Updated 7 years ago
- Modular Multi-Objective Reinforcement Learning with Decision Values☆24Updated 2 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- ☆10Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Updated 6 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- Recurrent Deterministic Policy Gradient actor-critic based Reinforcement Learning algorithm in Action☆37Updated 4 months 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
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆43Updated 6 years ago
- ☆80Updated 5 years ago
- Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm☆76Updated 8 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆54Updated 2 weeks ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆14Updated 8 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- ☆41Updated 5 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆22Updated 6 years ago
- Udacity's Deep Reinforcement Learning Nano-Degree☆17Updated 4 years ago
- Implementation of Linear Inverse Reinforcement Learning Algorithm (IRL) on Mountain Car Environment.☆31Updated 5 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆15Updated 7 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- An environment for an obstacle avoidance task☆35Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment☆73Updated 2 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago