continuous-action-space

There are 0 repository under continuous-action-space topic.

BY571 / Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
reinforcement-learning upside-down-reinforcement-learning reinforcement-learning-algorithms continuous-action-space discrete-action-space cartpole-environment upside-down pytorch machine-learning machine-learning-algorithms python
Language:Jupyter Notebook 75
BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
reinforcement-learning reinforcement-learning-algorithms soft-actor-critic ppo dqn ddpg policy-gradient actor-critic curiosity library a2c algorithms deep-reinforcement-learning sac multi-agent multi-agent-reinforcement-learning continuous-action-space machine-learning intrinsic-curiosity-module intrinsic-motivation
Language:Jupyter Notebook 68
RLOpensource / tensorflow_RL
continuous-action-space deep-learning framework gym korean reinforcement-learning robotics tensorflow
Language:Python 57
cubrink / mujoco-2.1-rl-project
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
machine-learning deep-learning reinforcement-learning pytorch mujoco soft-actor-critic sac deep-deterministic-policy-gradient ddpg reinforce-algorithm a2c a2c-algorithm discrete-action-space continuous-action-space ant-v3 humanoid-v3 pendulum-v1 python python3
Language:TeX 9
KanishkNavale / DDPG-PER-PEN
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
ddpg ddpg-agent actor-critic continuous-action-space reinforcement-learning openai-gym python3 prioritized-experience-replay parameter-noise deep-reinforcement-learning deep-learning pytorch lunarlandercontinous-v2
Language:Python 7
koriavinash1 / Brain_Tumor_Localization_using_RL_agent
Deep Reinforcement learning based tumour localisation
reinforcement-learning medical-imaging deep-reinforcement-learning object-localization dqn ddpg-agent continuous-action-space deep-convolutional-neural-networks regression
Language:Python 6
BY571 / D4PG-ray
Distributed PyTorch implementation of D4PG with ray. Using a SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
d4pg ray distributed-computing iqn ddpg continuous-action-space reinforcement-learning-algorithms reinforcement-learning state-of-the-art
Language:Python 3
callmespring / DJL
Implementation of Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings (NeurIPS, 2021) in Python
off-policy-evaluation continuous-action-space change-point-detection
Language:Python 1
ken-power / DRLND_ContinuousControl
Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.
deep-reinforcement-learning deep-learning pytorch unity deep-deterministic-policy-gradient actor-critic-methods continuous-action-space deep-q-learning openai-gym reacher-environment
Language:Jupyter Notebook 1
A-Bergonzoli / PPO_implementation_v4.0
PPO algorithm implemetation for TF 2.8.0
continuous-action-space openai-gym ppo tensorflow2
Language:Python 0