⚡ Flashbax: Accelerated Replay Buffers in JAX
-
Updated
May 29, 2024 - Python
⚡ Flashbax: Accelerated Replay Buffers in JAX
PyTorch implementation of our work: "Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning"
PyTorch implementation of our work: "Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning"
Causal RL: Reverse-Environment Network Integrated Actor-Critic Algorithm
Interactive Learning [ECE 641] - Fall 2023 - University of Tehran - Prof. Nili
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
Repository containing basic algorithm applied in python.
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
Actor Prioritized Experience Replay
PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains
solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Qlearning Temporal difference method Reinforcement Learning
DDPG and D4PG Continuous Control
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects include university projects and projects implemented due to interest in Reinforcement Learning.
DrQ: Data regularized Q
TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
Collection of codes pertaining to my research in model-free RL algorithms.
Stochastic Weighted Twin Delayed Deep Deterministic Policy Gradient (SWTD3)
Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms
An Optimistic Approach to the Q-Network Error in Actor-Critic Methods
Add a description, image, and links to the off-policy topic page so that developers can more easily learn about it.
To associate your repository with the off-policy topic, visit your repo's landing page and select "manage topics."