A Deep Reinforcement Learning Framework
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Updated
Oct 6, 2018 - Python
A Deep Reinforcement Learning Framework
This work brings together the efforts of Narasimhan et al. and Adolphs et al. to tackle the task of building an AI agent that can play efficiently and win simplified text-based games.
Implementation of Deep Q Learning algorithms in pytorch
A PyTorch implementation of a DQN agent to solve CartPole-V0 task from OpenAI Gym.
Best solution on OpenAI Leaderboard(for Nov 2019)
Virtual self driving car with reinforcement learning using Kivy & PyTorch framework.
deep reinforcement learning in pytorch
On-policy RL (VPG, PPO) algorithms from scratch
This repository models stock trading as an MDP an uses Deep Reinforcement Learning with risk-sensitive approaches to develop stock trading policies obeying market constraints while trying to maximize returns and minimize risk
Modular Deep RL infrastructure in PyTorch
Collaboration and Competition (using multi agent reinforcement learning). Train a pair of agents to play tennis.
Combining Improvements in Deep Reinforcement Learning
[IROS 2023] Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Dynamic Simulation Environments for Reinforcement Learning
An accompanying code and experiments' results for Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
Reinforcement Learning modules for pytorch.
Implementation of upside down Reinforcement Learning
In this project, I have tried to use DeepRL for optimizing the selection of transactions done by the miner to increase the fee when they execute a block on the chain
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