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reinforcement-learning-analysis

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akshaykhadse / reinforcement-learning

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Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration
  • Updated May 21, 2018
  • Python
HumanoidRobotWalk

reinai / HumanoidRobotWalk

Star 9

Implementation of Trust Region Policy Optimization and Proximal Policy Optimization algorithms on the objective of Robot Walk.

reinforcement-learning robotics motion deep-reinforcement-learning openai-gym pytorch reinforcement-learning-algorithms trpo robotics-simulation pybullet reinforcement-learning-analysis gym-environment ppo reinforcement-learning-agent gym-environments reinforcement-learning-environments robot-walking pybullet-environments pybullet-physics
  • Updated Mar 9, 2021
  • Python

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